Efficient storage and classification of color patterns based on integrating interpolation with ANN/SVM

[1]  Jean-Pierre Da Costa,et al.  A Bayesian framework for joint structure and colour based pixel-wise classification of grapevine proximal images , 2019, Comput. Electron. Agric..

[2]  Mohammad Ali Ghorbani,et al.  Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data , 2018 .

[3]  Magda Feres,et al.  Support vector machine-based differentiation between aggressive and chronic periodontitis using microbial profiles. , 2018, International dental journal.

[4]  Michael Bloodgood,et al.  Support Vector Machine Active Learning Algorithms with Query-by-Committee Versus Closest-to-Hyperplane Selection , 2018, 2018 IEEE 12th International Conference on Semantic Computing (ICSC).

[5]  Zhihua Zhang,et al.  Multivariate Time Series Analysis in Climate and Environmental Research , 2017 .

[6]  S. A. Oyewole,et al.  Product image classification using Eigen Colour feature with ensemble machine learning , 2017, Egyptian Informatics Journal.

[7]  Björn W. Schuller,et al.  Towards Intelligent Crowdsourcing for Audio Data Annotation: Integrating Active Learning in the Real World , 2017, INTERSPEECH.

[8]  Zairi Ismael Rizman,et al.  Comparison between Cascade Forward and Multi-Layer Perceptron Neural Networks for NARX Functional Electrical Stimulation (FES)-Based Muscle Model , 2017 .

[9]  D. S. Guru,et al.  Delaunay Triangulation on Skeleton of Flowers for Classification , 2016, ArXiv.

[10]  P. Monika,et al.  DI-ANN Clustering Algorithm for Pruning in MLP Neural Network , 2015 .

[11]  Jiasong Wu,et al.  Color image classification via quaternion principal component analysis network , 2015, Neurocomputing.

[12]  Masatoshi Okutomi,et al.  Minimized-Laplacian residual interpolation for color image demosaicking , 2014, Electronic Imaging.

[13]  Xiang Zhu,et al.  Restoration for weakly blurred and strongly noisy images , 2011, 2011 IEEE Workshop on Applications of Computer Vision (WACV).

[14]  Jian Sun,et al.  Guided Image Filtering , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[15]  Ajoy Kumar Ray,et al.  A Design Framework of Digital Camera Images Using Edge Adaptive and Directionally Weighted Color Interpolation Algorithm , 2009, 2009 International Joint Conference on Computational Sciences and Optimization.

[16]  Xiaolin Wang,et al.  Incorporating prior knowledge into learning by dividing training data , 2009, Frontiers of Computer Science in China.

[17]  H. Kasban,et al.  Automatic object detection from acoustic to Seismic landmine images , 2008, 2008 International Conference on Computer Engineering & Systems.

[18]  Tianxi Cai,et al.  Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers , 2008, J. Mach. Learn. Res..

[19]  Peyman Milanfar,et al.  Kernel Regression for Image Processing and Reconstruction , 2007, IEEE Transactions on Image Processing.

[20]  P.D. Polur,et al.  Experiments with fast Fourier transform, linear predictive and cepstral coefficients in dysarthric speech recognition algorithms using hidden Markov model , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[21]  Ning Xiang,et al.  An experimental study on antipersonnel landmine detection using acoustic-to-seismic coupling. , 2003, The Journal of the Acoustical Society of America.

[22]  Yung-Gi Wu,et al.  Medical image compression by sampling DCT coefficients , 2002, IEEE Trans. Inf. Technol. Biomed..

[23]  Chih-Jen Lin,et al.  A comparison of methods for multiclass support vector machines , 2002, IEEE Trans. Neural Networks.

[24]  Jing Peng,et al.  LDA/SVM driven nearest neighbor classification , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[25]  C. A. Murthy,et al.  Partitioned Iterative Function System: A New Tool for Digital Imaging , 2000 .

[26]  Ning Xiang,et al.  Land mine detection measurements using acoustic-to-seismic coupling , 2000, Defense, Security, and Sensing.

[27]  Nello Cristianini,et al.  An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .

[28]  Douglas D. O'Shaughnessy,et al.  Generalized mel frequency cepstral coefficients for large-vocabulary speaker-independent continuous-speech recognition , 1999, IEEE Trans. Speech Audio Process..

[29]  Michael T. Orchard,et al.  A comparative study of DCT- and wavelet-based image coding , 1999, IEEE Trans. Circuits Syst. Video Technol..

[30]  Sergios Theodoridis,et al.  Wavelet-based medical image compression , 1999, Future Gener. Comput. Syst..

[31]  Li Deng,et al.  Speech trajectory discrimination using the minimum classification error learning , 1998, IEEE Trans. Speech Audio Process..

[32]  Christopher J. C. Burges,et al.  A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.

[33]  J D Hazle,et al.  Introduction to wavelet-based compression of medical images. , 1998, Radiographics : a review publication of the Radiological Society of North America, Inc.

[34]  Vladimir Cherkassky,et al.  The Nature Of Statistical Learning Theory , 1997, IEEE Trans. Neural Networks.

[35]  S. Furui,et al.  Cepstral analysis technique for automatic speaker verification , 1981 .

[36]  Manuel Fernández Delgado,et al.  Influence of normalization and color space to color texture classification , 2017, Pattern Recognit..

[37]  Chih-Jen Lin,et al.  A Comparison of Methods for Multi-class Support Vector Machines , 2015 .

[38]  S. M. Elaraby,et al.  EFFICIENT DETECTION OF LANDMINES FROM ACOUSTIC IMAGES , 2009 .

[39]  Bhaskar D. Rao,et al.  Robust Feature Extraction for Continuous Speech Recognition Using the MVDR Spectrum Estimation Method , 2007, IEEE Transactions on Audio, Speech, and Language Processing.

[40]  Bernhard Schölkopf,et al.  Classification of Faces in Man and Machine , 2006, Neural Computation.

[41]  Tomi Kinnunen,et al.  Spectral Features for Automatic Text-Independent Speaker Recognition , 2003 .

[42]  Zekeriya Tufekci,et al.  Local feature extraction for robust speech recognition in the presence of noise , 2001 .

[43]  John H. L. Hansen,et al.  Robust and efficient techniques for speech recognition in noise , 2001 .

[44]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.