Plant species recognition methods using leaf image: Overview

[1]  Xindong Wu,et al.  Object Detection With Deep Learning: A Review , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[2]  Xiaolong Zhu,et al.  Method of plant leaf recognition based on improved deep convolutional neural network , 2018, Cognitive Systems Research.

[3]  Shashidhar G. Koolagudi,et al.  Classification of vocal and non-vocal segments in audio clips using genetic algorithm based feature selection (GAFS) , 2018, Expert Syst. Appl..

[4]  Chen Li,et al.  High performance vegetable classification from images based on AlexNet deep learning model , 2018 .

[5]  Richard K. G. Do,et al.  Convolutional neural networks: an overview and application in radiology , 2018, Insights into Imaging.

[6]  Yu Sun,et al.  Convolutional Recurrent Neural Networks for Observation-Centered Plant Identification , 2018, J. Electr. Comput. Eng..

[7]  Jing Hu,et al.  A Multiscale Fusion Convolutional Neural Network for Plant Leaf Recognition , 2018, IEEE Signal Processing Letters.

[8]  Sajid Javed,et al.  Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery , 2017, IEEE Signal Processing Magazine.

[9]  Patrick Mäder,et al.  Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review , 2017, Archives of Computational Methods in Engineering.

[10]  Feng Jiang,et al.  Plant identification based on very deep convolutional neural networks , 2017, Multimedia Tools and Applications.

[11]  Bob Zhang,et al.  Joint distances by sparse representation and locality-constrained dictionary learning for robust leaf recognition , 2017 .

[12]  Paolo Remagnino,et al.  How deep learning extracts and learns leaf features for plant classification , 2017, Pattern Recognit..

[13]  Sanyuan Zhang,et al.  Laplacian sparse dictionary learning for image classification based on sparse representation , 2017, Frontiers of Information Technology & Electronic Engineering.

[14]  Alexandros Iosifidis,et al.  Multilinear class-specific discriminant analysis , 2017, Pattern Recognit. Lett..

[15]  Hwa Jen Yap,et al.  Automated classification of tropical shrub species: a hybrid of leaf shape and machine learning approach , 2017, PeerJ.

[16]  Hervé Glotin,et al.  LifeCLEF 2017 Lab Overview: Multimedia Species Identification Challenges , 2017, CLEF.

[17]  Pierre Bonnet,et al.  Plant Identification Based on Noisy Web Data: the Amazing Performance of Deep Learning (LifeCLEF 2017) , 2017, CLEF.

[18]  Ben C. Stöver,et al.  LeafNet: A computer vision system for automatic plant species identification , 2017, Ecol. Informatics.

[19]  Gee Wah Ng,et al.  Effective feature fusion for pattern classification based on intra-class and extra-class discriminative correlation analysis , 2017, 2017 20th International Conference on Information Fusion (Fusion).

[20]  V. G. Biju,et al.  Friedman and Wilcoxon Evaluations Comparing SVM, Bagging, Boosting, K-NN and Decision Tree Classifiers , 2017 .

[21]  Mostafa Mehdipour-Ghazi,et al.  Plant identification using deep neural networks via optimization of transfer learning parameters , 2017, Neurocomputing.

[22]  Wenzhun Huang,et al.  Two-stage plant species recognition by local mean clustering and Weighted sparse representation classification , 2017, Cluster Computing.

[23]  K. Sreekumar,et al.  Literature review of image features and classifiers used in leaf based plant recognition through image analysis approach , 2017, 2017 International Conference on Inventive Communication and Computational Technologies (ICICCT).

[24]  Ioannis A. Kakadiaris,et al.  An Overview and Empirical Comparison of Distance Metric Learning Methods , 2017, IEEE Transactions on Cybernetics.

[25]  Patrick Mäder,et al.  Plant species classification using flower images—A comparative study of local feature representations , 2017, PloS one.

[26]  Jiwen Lu,et al.  Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition , 2014, IEEE Transactions on Image Processing.

[27]  Purvil Bambharolia OVERVIEW OF CONVOLUTIONAL NEURAL NETWORKS , 2017 .

[28]  Milan Tuba,et al.  Leaf recognition algorithm using support vector machine with Hu moments and local binary patterns , 2017, 2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI).

[29]  Jin Gao,et al.  Semi-Supervised Tensor-Based Graph Embedding Learning and Its Application to Visual Discriminant Tracking , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[30]  Bin Wang,et al.  Similarity based leaf image retrieval using multiscale R-angle description , 2016, Inf. Sci..

[31]  Hui Feng,et al.  CNN-SVM for Microvascular Morphological Type Recognition with Data Augmentation , 2016, Journal of Medical and Biological Engineering.

[32]  Nian Liu,et al.  Improved deep belief networks and multi-feature fusion for leaf identification , 2016, Neurocomputing.

[33]  J. Wiens Climate-Related Local Extinctions Are Already Widespread among Plant and Animal Species , 2016, PLoS biology.

[34]  Masaki Aono,et al.  Open world plant image identification based on convolutional neural network , 2016, 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

[35]  Xinmei Tian,et al.  Multi-organ plant identification with multi-column deep convolutional neural networks , 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[36]  Pierre Bonnet,et al.  Plant Identification in an Open-world (LifeCLEF 2016) , 2016, CLEF.

[37]  Maozhen Li,et al.  Preserving discriminant manifold subspace learning for plant leaf recognition , 2016, 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

[38]  Saurabh Prasad,et al.  Sparse representation-based classification: Orthogonal least squares or orthogonal matching pursuit? , 2016, Pattern Recognit. Lett..

[39]  Wen Jiang,et al.  Random Walk-Based Solution to Triple Level Stochastic Point Location Problem , 2016, IEEE Transactions on Cybernetics.

[40]  Jian Yang,et al.  Learning a structure adaptive dictionary for sparse representation based classification , 2016, Neurocomputing.

[41]  Xinbo Gao,et al.  A novel dimensionality reduction method with discriminative generalized eigen-decomposition , 2016, Neurocomputing.

[42]  David Griol,et al.  A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems , 2016, Int. J. Neural Syst..

[43]  Mohd Shamrie Sainin,et al.  Comparison of Half and Full-Leaf Shape Feature Extraction for Malaysian Medicinal Leaf Identification and Classification , 2016 .

[44]  Jianyu Miao,et al.  A Survey on Feature Selection , 2016 .

[45]  V. A. Golovko Deep learning: an overview and main paradigms , 2016, Optical Memory and Neural Networks.

[46]  Emmanuel Dellandréa,et al.  General Overview of ImageCLEF at the CLEF 2016 Labs , 2016, CLEF.

[47]  Yihua Hu,et al.  Semi-supervised orthogonal discriminant projection for plant leaf classification , 2015, Pattern Analysis and Applications.

[48]  Nozha Boujemaa,et al.  Plant identification: man vs. machine , 2015, Multimedia Tools and Applications.

[49]  Savita Gandhi,et al.  Automatic plant species recognition technique using machine learning approaches , 2015, 2015 International Conference on Computing and Network Communications (CoCoNet).

[50]  Aimen Aakif,et al.  Automatic classification of plants based on their leaves , 2015 .

[51]  Youssef Es Saady,et al.  Serial combination of two classifiers for automatic recognition of the damages and symptoms on plant leaves , 2015, 2015 Third World Conference on Complex Systems (WCCS).

[52]  Taisong Jin,et al.  A Novel Method of Automatic Plant Species Identification Using Sparse Representation of Leaf Tooth Features , 2015, PloS one.

[53]  Cong Zhao,et al.  Plant identification using leaf shapes - A pattern counting approach , 2015, Pattern Recognit..

[54]  José Francisco Aldana Montes,et al.  General Overview of ImageCLEF at the CLEF 2015 Labs , 2015, CLEF.

[55]  Li Shang,et al.  Implementation of Plant Leaf Recognition System on ARM Tablet Based on Local Ternary Pattern , 2015, ICIC.

[56]  Naixue Xiong,et al.  Decision-Tree Based Hybrid Filter-Wrapping Method for the Fusion of Multiple Feature Sets , 2015, ICIG.

[57]  Qing Song,et al.  The random forest classifier applied in droplet fingerprint recognition , 2015, 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

[58]  Jyotismita Chaki,et al.  Plant leaf recognition using texture and shape features with neural classifiers , 2015, Pattern Recognit. Lett..

[59]  Hong Cheng,et al.  Sparse Representation, Modeling and Learning in Visual Recognition , 2015, Advances in Computer Vision and Pattern Recognition.

[60]  David Zhang,et al.  A Survey of Sparse Representation: Algorithms and Applications , 2015, IEEE Access.

[61]  Bin Wang,et al.  MARCH: Multiscale-arch-height description for mobile retrieval of leaf images , 2015, Inf. Sci..

[62]  Xingyu Yang,et al.  Sparse representation of natural image based on Contourlet overcomplete dictionary , 2015 .

[63]  Chuang Lin,et al.  Two dimensional discriminant neighborhood preserving embedding in face recognition , 2015, International Conference on Graphic and Image Processing.

[64]  Yuan Yan Tang,et al.  ApLeaf: An efficient android-based plant leaf identification system , 2015, Neurocomputing.

[65]  V. Bajic,et al.  DWFS: A Wrapper Feature Selection Tool Based on a Parallel Genetic Algorithm , 2015, PloS one.

[66]  Jinsong Leng,et al.  A survey of computer-based vision systems for automatic identification of plant species. , 2015 .

[67]  Jürgen Schmidhuber,et al.  Deep learning in neural networks: An overview , 2014, Neural Networks.

[68]  M. Divya,et al.  A Survey On Recognition Of Plant Leaves Using Various Classifiers And Various Morphological Features , 2015 .

[69]  Nursuriati Jamil,et al.  Automatic Plant Identification: Is Shape the Key Feature?☆ , 2015 .

[70]  Sameerchand Pudaruth,et al.  Plant Leaf Recognition Using Shape Features and Colour Histogram with K-nearest Neighbour Classifiers , 2015 .

[71]  Nikesh Aishwarya Rajeev Classification of Leaf Using Geometric Features , 2015 .

[72]  Guowei Yang,et al.  Two-dimensional discriminant locality preserving projections (2DDLPP) and its application to feature extraction via fuzzy set , 2015, Multimedia Tools and Applications.

[73]  Sungbin Choi Plant Identification with Deep Convolutional Neural Network: SNUMedinfo at LifeCLEF Plant Identification Task 2015 , 2015, CLEF.

[74]  Yukinobu Taniguchi,et al.  Visual concept detection of web images based on group sparse ensemble learning , 2014, Multimedia Tools and Applications.

[75]  Mostafa Mehdipour-Ghazi,et al.  Sabanci-Okan System in LifeCLEF 2015 Plant Identification Competition , 2015, CLEF.

[76]  Aboul Ella Hassanien,et al.  Plant classification system based on leaf features , 2014, 2014 9th International Conference on Computer Engineering & Systems (ICCES).

[77]  Laure Tougne,et al.  Leaf margins as sequences: A structural approach to leaf identification , 2014, Pattern Recognit. Lett..

[78]  Chuen-Horng Lin,et al.  Study of image retrieval and classification based on adaptive features using genetic algorithm feature selection , 2014, Expert Syst. Appl..

[79]  Xindong Wu,et al.  Plant Leaf Identification via a Growing Convolution Neural Network with Progressive Sample Learning , 2014, ACCV.

[80]  Hervé Glotin,et al.  LifeCLEF 2016: Multimedia Life Species Identification Challenges , 2016, CLEF.

[81]  Lei Zhang,et al.  Support Vector Guided Dictionary Learning , 2014, ECCV.

[82]  Lei Zhao,et al.  Learning a Two-Dimensional Fuzzy Discriminant Locality Preserving Subspace for Visual Recognition , 2014, IEICE Trans. Inf. Syst..

[83]  Itheri Yahiaoui,et al.  Interactive plant identification based on social image data , 2014, Ecol. Informatics.

[84]  Jing Wang,et al.  Recognition of Leaf Image Set Based on Manifold-Manifold Distance , 2014, ICIC.

[85]  Chil-Woo Lee,et al.  Improved Face Recognition Using 2D-LDA with Weighted Covariance Scatter , 2014 .

[86]  M. Bhat,et al.  Phytoliths as Emerging Taxonomic Tools for Identification of Plants: An Overview , 2014 .

[87]  Li-Wei Kang,et al.  Learning sparse representation for leaf image recognition , 2014, 2014 IEEE International Conference on Consumer Electronics - Taiwan.

[88]  Pierre Baldi,et al.  The dropout learning algorithm , 2014, Artif. Intell..

[89]  Terrance E. Boult,et al.  Probability Models for Open Set Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[90]  Priyanka Bijalwan,et al.  Stability analysis of classifiers for leaf recognition using shape features , 2014, 2014 International Conference on Communication and Signal Processing.

[91]  Arvinder Kaur,et al.  Wavelet based sparse image recovery via Orthogonal Matching Pursuit , 2014, 2014 Recent Advances in Engineering and Computational Sciences (RAECS).

[92]  Tian Jie,et al.  Karhunen-Loeve Transform and Sparse Representation Based Plant Leaf Disease Recognition , 2014 .

[93]  Zhu-Hong You,et al.  Orthogonal locally discriminant spline embedding for plant leaf recognition , 2014, Comput. Vis. Image Underst..

[94]  Lu Lv,et al.  Research on Hand Gesture Recognition Based on Inner-Distance Contour Point Distribution Features and Histogram Matching , 2014, J. Comput..

[95]  Ghazali Sulong,et al.  Leaf recognition based on leaf tip and leaf base using centroid contour gradient , 2014 .

[96]  Huisi Wu,et al.  Fast and Robust Leaf Recognition Based on Rotation Invariant Shape Context , 2014 .

[97]  Ferat Sahin,et al.  A survey on feature selection methods , 2014, Comput. Electr. Eng..

[98]  Sreekumar,et al.  Ayurvedic leaf recognition for Plant Classification , 2014 .

[99]  Chi-Man Pun,et al.  Feature extraction and local Zernike moments based geometric invariant watermarking , 2013, Multimedia Tools and Applications.

[100]  Shanwen Zhang,et al.  Orthogonal Locally Discriminant Projection for Classification of Plant Leaf Diseases , 2013, 2013 Ninth International Conference on Computational Intelligence and Security.

[101]  Bulent Sankur,et al.  Combination of gross shape features, fourier descriptors and multiscale distance matrix for leaf recognition , 2013, Proceedings ELMAR-2013.

[102]  Chih-Ying Gwo,et al.  Plant identification through images: Using feature extraction of key points on leaf contours1 , 2013, Applications in plant sciences.

[103]  Nozha Boujemaa,et al.  The imageCLEF plant identification task 2013 , 2013, MAED '13.

[104]  Laure Tougne,et al.  Understanding leaves in natural images - A model-based approach for tree species identification , 2013, Comput. Vis. Image Underst..

[105]  Miguel Cazorla,et al.  ImageCLEF 2013: The Vision, the Data and the Open Challenges , 2013, CLEF.

[106]  Ahmet Burak Can,et al.  A Plant Recognition Approach Using Shape and Color Features in Leaf Images , 2013, ICIAP.

[107]  Shan-wen Zhang,et al.  Semi-Supervised Discriminant Projection for Plant Leaf Classification , 2013 .

[108]  Anne Verroust-Blondet,et al.  Plant species recognition using spatial correlation between the leaf margin and the leaf salient points , 2013, 2013 IEEE International Conference on Image Processing.

[109]  T. Suk,et al.  Leaf recognition of woody species in Central Europe , 2013 .

[110]  De-Shuang Huang,et al.  The nearest-farthest subspace classification for face recognition , 2013, Neurocomputing.

[111]  De-Shuang Huang,et al.  Optimized projections for sparse representation based classification , 2013, Neurocomputing.

[112]  Anne Verroust-Blondet,et al.  Combining Leaf Salient Points and Leaf Contour Descriptions for Plant Species Recognition , 2013, ICIAR.

[113]  Vishakha Metre,et al.  An Overview of the Research on Texture Based Plant Leaf Classification , 2013, ArXiv.

[114]  Anant P. Bhardwaj,et al.  Recognition of plants by Leaf Image using Moment Invariant and Texture Analysis , 2013 .

[115]  Anne Verroust-Blondet,et al.  A shape-based approach for leaf classification using multiscaletriangular representation , 2013, ICMR.

[116]  Ying-Ke Lei,et al.  Face recognition via Weighted Sparse Representation , 2013, J. Vis. Commun. Image Represent..

[117]  A. Kulkarni,et al.  A Leaf Recognition Technique for Plant Classification Using RBPNN and Zernike Moments , 2013 .

[118]  GEOFFREY A. SOLANO,et al.  An Application Using Canny Edge Detection and Multilayer Perceptron for Recognizing Leaves of Tropical Plants , 2013 .

[119]  S. Nandyal,et al.  Plant classification using SVM classifier , 2013 .

[120]  Anang Hudaya Muhamad Amin,et al.  One-shot Classification of 2-D Leaf Shapes Using Distributed Hierarchical Graph Neuron (DHGN) Scheme with k-NN Classifier , 2013 .

[121]  Kwang-seok Hong,et al.  An Implementation of Leaf Recognition System using Leaf Vein and Shape , 2013 .

[122]  Li Zhang,et al.  Kernel sparse representation-based classifier ensemble for face recognition , 2013, Multimedia Tools and Applications.

[123]  Nursuriati Jamil,et al.  Plant species identification by using Scale Invariant Feature Transform (SIFT) and Grid Based Colour Moment (GBCM) , 2013, 2013 IEEE Conference on Open Systems (ICOS).

[124]  Zhenjiang Miao,et al.  Similarity weighted sparse representation for classification , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

[125]  Wei Jia,et al.  Multiscale Distance Matrix for Fast Plant Leaf Recognition , 2012, IEEE Transactions on Image Processing.

[126]  S. N. Geethalakshmi,et al.  Efficient feature fusion, selection and classification technique for Plant Leaf Image Retrieval system , 2012, CCSEIT '12.

[127]  W. John Kress,et al.  Leafsnap: A Computer Vision System for Automatic Plant Species Identification , 2012, ECCV.

[128]  De-Shuang Huang,et al.  A General CPL-AdS Methodology for Fixing Dynamic Parameters in Dual Environments , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[129]  Yang Zhao,et al.  Completed Local Binary Count for Rotation Invariant Texture Classification , 2012, IEEE Transactions on Image Processing.

[130]  C. Chandrasekar,et al.  3D Object Recognition using Multiclass Support Vector Machine-K-Nearest Neighbor Supported by Local and Global Feature , 2012 .

[131]  Yang Zhao,et al.  An Efficient Multi-scale Overlapped Block LBP Approach for Leaf Image Recognition , 2012, ICIC.

[132]  Xiao-Feng Wang,et al.  Leaf Image Recognition Using Fourier Transform Based on Ordered Sequence , 2012, ICIC.

[133]  Jianping Fan,et al.  Learning inter-related visual dictionary for object recognition , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[134]  Marc Sebban,et al.  Discriminative feature fusion for image classification , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[135]  Chunheng Wang,et al.  Sparse representation for face recognition based on discriminative low-rank dictionary learning , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[136]  S. N. Geethalakshmi,et al.  An Optimal Feature Subset Selection for Leaf Analysis , 2012 .

[137]  George C. Runger,et al.  Feature selection via regularized trees , 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

[138]  Jiliu Zhou,et al.  Feature Fusion Using Three-Dimensional Canonical Correlation Analysis for Image Recognition , 2012 .

[139]  K. Hyde,et al.  Phyllosticta—an overview of current status of species recognition , 2011, Fungal Diversity.

[140]  R. C. Tripathi,et al.  Plant leaf species identification using Curvelet transform , 2011, 2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011).

[141]  Shanwen Zhang,et al.  Modified orthogonal discriminant projection for classification , 2011, Neurocomputing.

[142]  Paulus Insap Santosa,et al.  Foliage Plant Retrieval using Polar Fourier Transform, Color Moments and Vein Features , 2011, ArXiv.

[143]  Pierre Bonnet,et al.  Participation of INRIA & Pl@ntNet to ImageCLEF 2011 Plant Images Classification Task , 2011, CLEF.

[144]  Gözde B. Ünal,et al.  Plant Image Retrieval Using Color, Shape and Texture Features , 2011, Comput. J..

[145]  Shanwen Zhang,et al.  Modified locally linear discriminant embedding for plant leaf recognition , 2011, Neurocomputing.

[146]  Mark D. Plumbley,et al.  Fast Dictionary Learning for Sparse Representations of Speech Signals , 2011, IEEE Journal of Selected Topics in Signal Processing.

[147]  Ying-Ke Lei,et al.  Semi-supervised locally discriminant projection for classification and recognition , 2011, Knowl. Based Syst..

[148]  Honggang Zhang,et al.  Local Sparse Representation Based Classification , 2010, 2010 20th International Conference on Pattern Recognition.

[149]  Xiao-Feng Wang,et al.  HOG-Based Approach for Leaf Classification , 2010, ICIC.

[150]  De-Shuang Huang,et al.  Two-dimensional Neighborhood Discriminant Projection , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

[151]  Li Yamin,et al.  Method of plant texture image recognition based on genetic programming , 2010, 2010 International Conference On Computer Design and Applications.

[152]  Jiwen Lu,et al.  Regularized Locality Preserving Projections and Its Extensions for Face Recognition , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[153]  Mohamed-Jalal Fadili,et al.  Image Decomposition and Separation Using Sparse Representations: An Overview , 2010, Proceedings of the IEEE.

[154]  Guillermo Sapiro,et al.  Sparse Representation for Computer Vision and Pattern Recognition , 2010, Proceedings of the IEEE.

[155]  Xiaofeng Wang,et al.  An efficient local Chan-Vese model for image segmentation , 2010, Pattern Recognit..

[156]  Jitendra Malik,et al.  Shape matching and object recognition using shape contexts , 2010, 2010 3rd International Conference on Computer Science and Information Technology.

[157]  De-Shuang Huang,et al.  An improved approximation approach incorporating particle swarm optimization and a priori information into neural networks , 2010, Neural Computing and Applications.

[158]  R. C. Keating Manual of Leaf Architecture , 2009 .

[159]  Chao Wang,et al.  Supervised feature extraction based on orthogonal discriminant projection , 2009, Neurocomputing.

[160]  Xiaofeng Wang,et al.  A Novel Density-Based Clustering Framework by Using Level Set Method , 2009, IEEE Transactions on Knowledge and Data Engineering.

[161]  Odemir Martinez Bruno,et al.  Plant leaf identification using Gabor wavelets , 2009, Int. J. Imaging Syst. Technol..

[162]  Shuicheng Yan,et al.  An HOG-LBP human detector with partial occlusion handling , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[163]  Beth Ellis,et al.  Manual of Leaf Architecture , 2009 .

[164]  Qionghai Dai,et al.  Ways to sparse representation: An overview , 2009, Science in China Series F: Information Sciences.

[165]  De-Shuang Huang,et al.  Locally linear discriminant embedding: An efficient method for face recognition , 2008, Pattern Recognit..

[166]  De-Shuang Huang,et al.  A Constructive Hybrid Structure Optimization Methodology for Radial Basis Probabilistic Neural Networks , 2008, IEEE Transactions on Neural Networks.

[167]  Xiaofeng Wang,et al.  Classification of plant leaf images with complicated background , 2008, Appl. Math. Comput..

[168]  Chao Wang,et al.  Feature extraction using constrained maximum variance mapping , 2008, Pattern Recognit..

[169]  Kpalma Kidiyo,et al.  A Survey of Shape Feature Extraction Techniques , 2008 .

[170]  De-Shuang Huang,et al.  Cancer classification using Rotation Forest , 2008, Comput. Biol. Medicine.

[171]  De-Shuang Huang,et al.  Modified constrained learning algorithms incorporating additional functional constraints into neural networks , 2008, Inf. Sci..

[172]  Michael Golay,et al.  Survey of Model Selection and Model Combination , 2008 .

[173]  Xiaofeng Wang,et al.  A Novel Multi-Layer Level Set Method for Image Segmentation , 2008, J. Univers. Comput. Sci..

[174]  De-Shuang Huang,et al.  A new constrained learning algorithm for function approximation by encoding a priori information into feedforward neural networks , 2008, Neural Computing and Applications.

[175]  Wei Jia,et al.  Palmprint recognition with 2DPCA+PCA based on modular neural networks , 2007, Neurocomputing.

[176]  George W. Irwin,et al.  MISEP Method for Postnonlinear Blind Source Separation , 2007, Neural Computation.

[177]  De-Shuang Huang,et al.  A New Constrained Independent Component Analysis Method , 2007, IEEE Transactions on Neural Networks.

[178]  Yuxuan Wang,et al.  A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network , 2007, 2007 IEEE International Symposium on Signal Processing and Information Technology.

[179]  De-Shuang Huang,et al.  A mended hybrid learning algorithm for radial basis function neural networks to improve generalization capability , 2007 .

[180]  Haibin Ling,et al.  Shape Classification Using the Inner-Distance , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[181]  Liu Zhao Overview of nonlinear dimensionality reduction methods in manifold learning , 2007 .

[182]  Xiaofeng Wang,et al.  Shape recognition based on neural networks trained by differential evolution algorithm , 2007, Neurocomputing.

[183]  Zheru Chi,et al.  Combined thresholding and neural network approach for vein pattern extraction from leaf images , 2006 .

[184]  De-Shuang Huang,et al.  A novel full structure optimization algorithm for radial basis probabilistic neural networks , 2006, Neurocomputing.

[185]  Xing-Ming Zhao,et al.  Classifying protein sequences using hydropathy blocks , 2006, Pattern Recognit..

[186]  Li Shang,et al.  Feature selection in independent component subspace for microarray data classification , 2006, Neurocomputing.

[187]  De-Shuang Huang,et al.  Improved extreme learning machine for function approximation by encoding a priori information , 2006, Neurocomputing.

[188]  Michael R. Lyu,et al.  A novel adaptive sequential niche technique for multimodal function optimization , 2006, Neurocomputing.

[189]  De-shuang Huang,et al.  Computer-Aided Plant Species Identification (CAPSI) Based on Leaf Shape Matching Technique , 2006 .

[190]  Li Shang,et al.  Noise removal using a novel non-negative sparse coding shrinkage technique , 2006, Neurocomputing.

[191]  Michael R. Lyu,et al.  Nonnegative independent component analysis based on minimizing mutual information technique , 2006, Neurocomputing.

[192]  Li Shang,et al.  Optimal selection of time lags for TDSEP based on genetic algorithm , 2006, Neurocomputing.

[193]  Tao Jiang,et al.  Efficient and robust feature extraction by maximum margin criterion , 2003, IEEE Transactions on Neural Networks.

[194]  Yan Liu,et al.  A new method of feature fusion and its application in image recognition , 2005, Pattern Recognit..

[195]  Changle Zhou,et al.  Leaf Image Retrieval Using a Shape Based Method , 2005, AIAI.

[196]  De-Shuang Huang,et al.  Extracting nonlinear features for multispectral images by FCMC and KPCA , 2005, Digit. Signal Process..

[197]  P. Prusinkiewicz,et al.  Modeling and visualization of leaf venation patterns , 2005, ACM Trans. Graph..

[198]  Xiaofeng Wang,et al.  Shape Recognition Based on Radial Basis Probabilistic Neural Network and Application to Plant Species Identification , 2005, ISNN.

[199]  De-Shuang Huang,et al.  Zeroing polynomials using modified constrained neural network approach , 2005, IEEE Transactions on Neural Networks.

[200]  De-Shuang Huang,et al.  Determining the centers of radial basis probabilistic neural networks by recursive orthogonal least square algorithms , 2005, Appl. Math. Comput..

[201]  Jianya Gong,et al.  Classification based on texture feature of wavelet transform , 2004, SPIE Asia-Pacific Remote Sensing.

[202]  De-Shuang Huang,et al.  Genetic Optimization Of Radial Basis Probabilistic Neural Networks , 2004, Int. J. Pattern Recognit. Artif. Intell..

[203]  Luciano da Fontoura Costa,et al.  A graph-based approach for multiscale shape analysis , 2004, Pattern Recognit..

[204]  Christoph Palm,et al.  Color texture classification by integrative Co-occurrence matrices , 2004, Pattern Recognit..

[205]  De-Shuang Huang,et al.  A constructive approach for finding arbitrary roots of polynomials by neural networks , 2004, IEEE Transactions on Neural Networks.

[206]  J. Pounds,et al.  Ecology: Clouded futures , 2004, Nature.

[207]  Michael J. Black,et al.  A Framework for Robust Subspace Learning , 2003, International Journal of Computer Vision.

[208]  Guojun Lu,et al.  Review of shape representation and description techniques , 2004, Pattern Recognit..

[209]  Pierre Vandergheynst,et al.  Sparse decomposition over multi-component redundant dictionaries , 2004, IEEE 6th Workshop on Multimedia Signal Processing, 2004..

[210]  Jian Yang,et al.  Feature fusion: parallel strategy vs. serial strategy , 2003, Pattern Recognit..

[211]  Isabelle Guyon,et al.  An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..

[212]  J. Blair,et al.  Rainfall Variability, Carbon Cycling, and Plant Species Diversity in a Mesic Grassland , 2002, Science.

[213]  Tieniu Tan,et al.  Brief review of invariant texture analysis methods , 2002, Pattern Recognit..

[214]  Oskar Söderkvist,et al.  Computer Vision Classification of Leaves from Swedish Trees , 2001 .

[215]  Adam C. Winstanley,et al.  Using moment invariants for classifying shapes on large-scale maps , 2001 .

[216]  Leo H. Chiang,et al.  Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis , 2000 .

[217]  D.-S. Huang,et al.  Radial Basis Probabilistic Neural Networks: Model and Application , 1999, Int. J. Pattern Recognit. Artif. Intell..

[218]  Alan R. Hemsley,et al.  The evolution of plant architecture , 1999 .

[219]  De-Shuang Huang,et al.  Linear and Nonlinear Feedforward Neural Network Classifiers: A Comprehensive Understanding , 1999 .

[220]  Thomas S. Huang,et al.  A Modified Fourier Descriptor for Shape Matching in MARS , 1998, Image Databases and Multi-Media Search.

[221]  Ron Kohavi,et al.  Wrappers for Feature Subset Selection , 1997, Artif. Intell..

[222]  Huan Liu,et al.  Feature Selection for Classification , 1997, Intell. Data Anal..

[223]  S. C. Chang Landslides and their environmental impacts in northern Taiwan (1968-1986). , 1990 .

[224]  S. Shearer,et al.  PLANT IDENTIFICATION USING COLOR CO-OCCURRENCE MATRICES , 1990 .