Scene classification using a new radial basis function classifier and integrated SIFT–LBP features
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[1] Antonio Torralba,et al. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope , 2001, International Journal of Computer Vision.
[2] R. Cancelliere,et al. A comparative analysis of neural network performances in astronomical imaging , 2003 .
[3] Davar Giveki,et al. Designing a New Radial Basis Function Neural Network by Harmony Search for Diabetes Diagnosis , 2019, Optical Memory and Neural Networks.
[4] Gholam Ali Montazer,et al. Scene Classification Using Multi-Resolution WAHOLB Features and Neural Network Classifier , 2017, Neural Processing Letters.
[5] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[6] Jiwen Lu,et al. PCANet: A Simple Deep Learning Baseline for Image Classification? , 2014, IEEE Transactions on Image Processing.
[7] Reza Sabzevari,et al. Three-phase strategy for the OSD learning method in RBF neural networks , 2009, Neurocomputing.
[8] Haoqiang Fan,et al. Approaching human level facial landmark localization by deep learning , 2016, Image Vis. Comput..
[9] Song Bai,et al. Deep learning representation using autoencoder for 3D shape retrieval , 2014, Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC).
[10] Xiaogang Wang,et al. Deep Learning Strong Parts for Pedestrian Detection , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[11] Shiliang Sun,et al. A survey of multi-view machine learning , 2013, Neural Computing and Applications.
[12] Hongliang Li,et al. WaveLBP based hierarchical features for image classification , 2013, Pattern Recognit. Lett..
[13] Dewen Hu,et al. Scene classification using a multi-resolution bag-of-features model , 2013, Pattern Recognit..
[14] Licheng Jiao,et al. Feature integration of EODH and Color-SIFT: Application to image retrieval based on codebook , 2014, Signal Process. Image Commun..
[15] Ioannis Pratikakis,et al. Bag of spatio-visual words for context inference in scene classification , 2013, Pattern Recognit..
[16] Dit-Yan Yeung,et al. Learning a Deep Compact Image Representation for Visual Tracking , 2013, NIPS.
[17] Dacheng Tao,et al. Non-Local Auto-Encoder With Collaborative Stabilization for Image Restoration , 2016, IEEE Transactions on Image Processing.
[18] Cor J. Veenman,et al. Kernel Codebooks for Scene Categorization , 2008, ECCV.
[19] Dacheng Tao,et al. A Survey on Multi-view Learning , 2013, ArXiv.
[20] Lutz Prechelt,et al. A Set of Neural Network Benchmark Problems and Benchmarking Rules , 1994 .
[21] Davar Giveki,et al. A New Content Based Image Retrieval Model Based on Wavelet Transform , 2015 .
[22] Cheng-Yuan Liou,et al. Least-Mean-Square Training of Cluster-Weighted Modeling , 2007, ICANN.
[23] Received January,et al. A New SIFT-Based Image Descriptor Applicable for Content Based Image Retrieval , 2015 .
[24] Pietro Perona,et al. A Bayesian hierarchical model for learning natural scene categories , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[25] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[26] Reza Sabzevari,et al. Improvement of learning algorithms for RBF neural networks in a helicopter sound identification system , 2007, Neurocomputing.
[27] Gholam Ali Montazer,et al. Content based image retrieval system using clustered scale invariant feature transforms , 2015 .
[28] Yong Wang,et al. Conditional Random Field for Natural Scene Categorization , 2007, BMVC.
[29] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[30] Beng Chin Ooi,et al. Effective deep learning-based multi-modal retrieval , 2015, The VLDB Journal.
[31] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[32] Yuan Yan Tang,et al. High-Order Distance-Based Multiview Stochastic Learning in Image Classification , 2014, IEEE Transactions on Cybernetics.
[33] Xiyuan Chen. Deformation Measurement of the Large Flexible Surface by Improved RBFNN Algorithm and BPNN Algorithm , 2007, ISNN.
[34] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[35] ObjectPatchNet: Towards scalable and semantic image annotation and retrieval , 2014, Comput. Vis. Image Underst..
[36] Shuyuan Yang,et al. Sparse coding and classifier ensemble based multi-instance learning for image categorization , 2013, Signal Process..
[37] R. Balasubramanian,et al. Local maximum edge binary patterns: A new descriptor for image retrieval and object tracking , 2012, Signal Process..
[38] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[39] N. H. C. Yung,et al. Scene categorization via contextual visual words , 2010, Pattern Recognit..
[40] Gholam Ali Montazer,et al. A new image feature descriptor for content based image retrieval using scale invariant feature transform and local derivative pattern , 2017 .
[41] Gholam Ali Montazer,et al. Atanassov's intuitionistic fuzzy histon for robust moving object detection , 2017, Int. J. Approx. Reason..
[42] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[43] Xiao Bai,et al. Discriminative Features for Image Classification and Retrieval , 2011, 2011 Sixth International Conference on Image and Graphics.
[44] Zhengzhi Wang,et al. Building global image features for scene recognition , 2012, Pattern Recognit..
[45] Xiao Bai,et al. Discriminative Features for Image Classification and Retrieval , 2011, 2011 Sixth International Conference on Image and Graphics.
[46] Song-Chun Zhu,et al. Hierarchical Space Tiling for Scene Modeling , 2012, ACCV.
[47] Silvio Savarese,et al. Hierarchical classification of images by sparse approximation , 2013, Image Vis. Comput..
[48] Hui Wei,et al. Improvements in image categorization using codebook ensembles , 2011, Image Vis. Comput..
[49] Gholam Ali Montazer,et al. An improvement in RBF learning algorithm based on PSO for real time applications , 2013, Neurocomputing.
[50] Qi Tian,et al. Image classification using Harr-like transformation of local features with coding residuals , 2013, Signal Process..
[51] Nelson H. C. Yung,et al. Feature fusion within local region using localized maximum-margin learning for scene categorization , 2012, Pattern Recognit..
[52] Davar Giveki,et al. Erratum to: A New Neural Network Classifier Based on Atanassov’s Intuitionistic Fuzzy Set Theory , 2019, Optical Memory and Neural Networks.