Enhanced bag of visual words representations for content based image retrieval: a comparative study
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V. K. Govindan | S. D. Madhu Kumar | K. S. Arun | V. Govindan | S. D. M. Kumar | K. Arun | S. D. M. Kumar
[1] Mathias Lux,et al. Bag of visual words revisited: an exploratory study on robust image retrieval exploiting fuzzy codebooks , 2010, MDMKDD '10.
[2] Cordelia Schmid,et al. Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search , 2008, ECCV.
[3] Bipin C. Desai,et al. A unified image retrieval framework on local visual and semantic concept-based feature spaces , 2009, J. Vis. Commun. Image Represent..
[4] Naftali Tishby,et al. The information bottleneck method , 2000, ArXiv.
[5] Ning Zhou,et al. Jointly Learning Visually Correlated Dictionaries for Large-Scale Visual Recognition Applications. , 2014, IEEE transactions on pattern analysis and machine intelligence.
[6] Tomás Pajdla,et al. NetVLAD: CNN Architecture for Weakly Supervised Place Recognition , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Gang Hua,et al. Weakly Supervised Visual Dictionary Learning by Harnessing Image Attributes , 2014, IEEE Transactions on Image Processing.
[8] Peng Li,et al. Correlated PLSA for Image Clustering , 2011, MMM.
[9] David Salesin,et al. Fast multiresolution image querying , 1995, SIGGRAPH.
[10] Paul Clough,et al. The IAPR TC-12 Benchmark: A New Evaluation Resource for Visual Information Systems , 2006 .
[11] Tieniu Tan,et al. Salient coding for image classification , 2011, CVPR 2011.
[12] Richa Singh,et al. Greedy Deep Dictionary Learning , 2016, ArXiv.
[13] Joel A. Tropp,et al. Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit , 2007, IEEE Transactions on Information Theory.
[14] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[15] Michael Isard,et al. Object retrieval with large vocabularies and fast spatial matching , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[16] Agma J. M. Traina,et al. From Bag-of-Visual-Words to Bag-of-Visual-Phrases Using n-Grams , 2013, 2013 XXVI Conference on Graphics, Patterns and Images.
[17] Stéphane Mallat,et al. Bandelet Image Approximation and Compression , 2005, Multiscale Model. Simul..
[18] Nir Friedman,et al. Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning , 2009 .
[19] Cordelia Schmid,et al. Aggregating local descriptors into a compact image representation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[20] Changhu Wang,et al. Spatial-bag-of-features , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[21] Wei Li,et al. Pachinko allocation: DAG-structured mixture models of topic correlations , 2006, ICML.
[22] Jian Sun,et al. Sparse-Coded Features for Image Retrieval , 2013, BMVC.
[23] Bart Thomee,et al. New trends and ideas in visual concept detection: the MIR flickr retrieval evaluation initiative , 2010, MIR '10.
[24] John D. Lafferty,et al. Correlated Topic Models , 2005, NIPS.
[25] Anastasios Tefas,et al. Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[26] Andrea Vedaldi,et al. Vlfeat: an open and portable library of computer vision algorithms , 2010, ACM Multimedia.
[27] Peter V. Gehler,et al. The rate adapting poisson model for information retrieval and object recognition , 2006, ICML.
[28] Geoffrey E. Hinton. A Practical Guide to Training Restricted Boltzmann Machines , 2012, Neural Networks: Tricks of the Trade.
[29] Jenny Benois-Pineau,et al. Multi-layer Local Graph Words for Object Recognition , 2012, MMM.
[30] S. P. Lloyd,et al. Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.
[31] Yihong Gong,et al. Locality-constrained Linear Coding for image classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[32] Frédéric Jurie,et al. Sampling Strategies for Bag-of-Features Image Classification , 2006, ECCV.
[33] Shiliang Zhang,et al. Learning attribute-aware dictionary for image classification and search , 2013, ICMR.
[34] 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).
[35] Thomas Mensink,et al. Improving the Fisher Kernel for Large-Scale Image Classification , 2010, ECCV.
[36] Surya Ganguli,et al. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks , 2013, ICLR.
[37] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[38] C. Krishna Mohan,et al. Content based medical image retrieval using dictionary learning , 2015, Neurocomputing.
[39] Ricardo da Silva Torres,et al. Visual word spatial arrangement for image retrieval and classification , 2014, Pattern Recognit..
[40] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[41] Lei Wang,et al. In defense of soft-assignment coding , 2011, 2011 International Conference on Computer Vision.
[42] Jing-Yu Yang,et al. Content-based image retrieval using computational visual attention model , 2015, Pattern Recognit..
[43] Kjersti Engan,et al. Method of optimal directions for frame design , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).
[44] Jianping Fan,et al. Jointly Learning Visually Correlated Dictionaries for Large-Scale Visual Recognition Applications , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[45] Matti Pietikäinen,et al. Face Description with Local Binary Patterns: Application to Face Recognition , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[46] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[47] Greg C. Lee,et al. Probabilistic semantic component descriptor , 2011, Multimedia Tools and Applications.
[48] Thomas Hofmann,et al. Unsupervised Learning by Probabilistic Latent Semantic Analysis , 2004, Machine Learning.
[49] R. Lienhart,et al. Correlated Topic Models for Image Retrieval , 2008 .
[50] Wei Zhou,et al. Face Recognition with Learned Local Curvelet Patterns and 2-Directional L1-Norm Based 2DPCA , 2012, ACCV Workshops.
[51] Yamina Tlili Guiyassa,et al. Image Indexing and Retrieval with Pachinko Allocation Model: Application on Local and Global Features , 2012, PKAW.
[52] Gregory R. Koch,et al. Siamese Neural Networks for One-Shot Image Recognition , 2015 .
[53] Guojun Lu,et al. Evaluation of similarity measurement for image retrieval , 2003, International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003.
[54] Tieniu Tan,et al. Group encoding of local features in image classification , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[55] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[56] Guillermo Sapiro,et al. Online dictionary learning for sparse coding , 2009, ICML '09.
[57] Jean-Marc Odobez,et al. A Thousand Words in a Scene , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[58] Yihong Gong,et al. Nonlinear Learning using Local Coordinate Coding , 2009, NIPS.
[59] Eva Hörster,et al. Topic models for image retrieval on large-scale databases , 2009, ACMMR.
[60] Rainer Lienhart,et al. Multilayer pLSA for multimodal image retrieval , 2009, CIVR '09.
[61] David Zhang,et al. Fisher Discrimination Dictionary Learning for sparse representation , 2011, 2011 International Conference on Computer Vision.
[62] Geoffrey E. Hinton,et al. Replicated Softmax: an Undirected Topic Model , 2009, NIPS.
[63] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[64] Deborah Richards,et al. Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems , 2012 .
[65] Tieniu Tan,et al. Feature Coding in Image Classification: A Comprehensive Study , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[66] Kjersti Engan,et al. Recursive Least Squares Dictionary Learning Algorithm , 2010, IEEE Transactions on Signal Processing.