Large-scale learning of discriminative image representations
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[1] Andrew Zisserman,et al. Learning Local Feature Descriptors Using Convex Optimisation , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Erica Klarreich,et al. Hello, my name is… , 2014, CACM.
[3] Andrew Zisserman,et al. Deep Fisher Networks for Large-Scale Image Classification , 2013, NIPS.
[4] Thomas Mensink,et al. Image Classification with the Fisher Vector: Theory and Practice , 2013, International Journal of Computer Vision.
[5] Patrick Pérez,et al. Revisiting the VLAD image representation , 2013, ACM Multimedia.
[6] Gang Hua,et al. Probabilistic Elastic Matching for Pose Variant Face Verification , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Peter N. Belhumeur,et al. POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Hongbin Zha,et al. Supervised Kernel Descriptors for Visual Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Luc Van Gool,et al. Sparse Quantization for Patch Description , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Andrew Zisserman,et al. All About VLAD , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Shiguang Shan,et al. Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[12] Shenghuo Zhu,et al. Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval , 2012, ArXiv.
[13] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[14] Vincent Lepetit,et al. Learning Image Descriptors with the Boosting-Trick , 2012, NIPS.
[15] Honglak Lee,et al. Learning to Align from Scratch , 2012, NIPS.
[16] Florent Perronnin,et al. Modeling the spatial layout of images beyond spatial pyramids , 2012, Pattern Recognit. Lett..
[17] Andrew Zisserman,et al. VISOR: Towards On-the-Fly Large-Scale Object Category Retrieval , 2012, ACCV.
[18] Jian Sun,et al. Bayesian Face Revisited: A Joint Formulation , 2012, ECCV.
[19] Hervé Jégou,et al. Negative Evidences and Co-occurences in Image Retrieval: The Benefit of PCA and Whitening , 2012, ECCV.
[20] Andrew Zisserman,et al. Descriptor Learning Using Convex Optimisation , 2012, ECCV.
[21] Xuelong Li,et al. Beyond Spatial Pyramids: A New Feature Extraction Framework with Dense Spatial Sampling for Image Classification , 2012, ECCV.
[22] Gaurav Sharma,et al. Local Higher-Order Statistics (LHS) for Texture Categorization and Facial Analysis , 2012, ECCV.
[23] Vincent Lepetit,et al. Efficient Discriminative Projections for Compact Binary Descriptors , 2012, ECCV.
[24] Sébastien Ourselin,et al. Immediate ROI Search for 3-D Medical Images , 2012, MCBR-CDS.
[25] Cordelia Schmid,et al. Aggregating Local Image Descriptors into Compact Codes , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[27] Andrew Zisserman,et al. Three things everyone should know to improve object retrieval , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[28] Matthijs Douze,et al. Large-scale image classification with trace-norm regularization , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[29] Jian Sun,et al. Face Alignment by Explicit Shape Regression , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[30] Cordelia Schmid,et al. Good Practice in Large-Scale Learning for Image Classification , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] Ernest Valveny,et al. Leveraging category-level labels for instance-level image retrieval , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[32] Pierre Vandergheynst,et al. FREAK: Fast Retina Keypoint , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Sébastien Ourselin,et al. Multi-STEPS: Multi-label similarity and truth estimation for propagated segmentations , 2012, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis.
[34] Jürgen Schmidhuber,et al. Multi-column deep neural networks for image classification , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[35] Marc'Aurelio Ranzato,et al. Building high-level features using large scale unsupervised learning , 2011, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[36] David Picard,et al. Improving image similarity with vectors of locally aggregated tensors , 2011, 2011 18th IEEE International Conference on Image Processing.
[37] Honglak Lee,et al. An Analysis of Single-Layer Networks in Unsupervised Feature Learning , 2011, AISTATS.
[38] Roland Siegwart,et al. BRISK: Binary Robust invariant scalable keypoints , 2011, 2011 International Conference on Computer Vision.
[39] Frédéric Jurie,et al. Modeling spatial layout with fisher vectors for image categorization , 2011, 2011 International Conference on Computer Vision.
[40] Trevor Darrell,et al. The NBNN kernel , 2011, 2011 International Conference on Computer Vision.
[41] Ethan Rublee,et al. ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.
[42] Hervé Jégou,et al. Anti-sparse coding for approximate nearest neighbor search , 2011, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[43] Yann LeCun,et al. Traffic sign recognition with multi-scale Convolutional Networks , 2011, The 2011 International Joint Conference on Neural Networks.
[44] Franz Kainberger,et al. Texture Bags: Anomaly Retrieval in Medical Images Based on Local 3D-Texture Similarity , 2011, MCBR-CDS.
[45] Antonio Criminisi,et al. Immediate Structured Visual Search for Medical Images , 2011, MICCAI.
[46] Lior Wolf,et al. Leveraging Billions of Faces to Overcome Performance Barriers in Unconstrained Face Recognition , 2011, ArXiv.
[47] Jason Weston,et al. WSABIE: Scaling Up to Large Vocabulary Image Annotation , 2011, IJCAI.
[48] David J. Kriegman,et al. Localizing Parts of Faces Using a Consensus of Exemplars , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[49] Florent Perronnin,et al. High-dimensional signature compression for large-scale image classification , 2011, CVPR 2011.
[50] Alexei A. Efros,et al. Unbiased look at dataset bias , 2011, CVPR 2011.
[51] S. Lazebnik,et al. Iterative quantization: A procrustean approach to learning binary codes , 2011, CVPR 2011.
[52] Marc Modat,et al. LoAd: A locally adaptive cortical segmentation algorithm , 2011, NeuroImage.
[53] V. Kshirsagar,et al. Face recognition using Eigenfaces , 2011, 2011 3rd International Conference on Computer Research and Development.
[54] Hayit Greenspan,et al. X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words , 2011, IEEE Transactions on Medical Imaging.
[55] Inderjit S. Dhillon,et al. Inductive Regularized Learning of Kernel Functions , 2010, NIPS.
[56] Daphne Koller,et al. Self-Paced Learning for Latent Variable Models , 2010, NIPS.
[57] Andrea Vedaldi,et al. Vlfeat: an open and portable library of computer vision algorithms , 2010, ACM Multimedia.
[58] Jason Weston,et al. Large scale image annotation: learning to rank with joint word-image embeddings , 2010, Machine Learning.
[59] Michael Isard,et al. Descriptor Learning for Efficient Retrieval , 2010, ECCV.
[60] Andrew W. Fitzgibbon,et al. Efficient Object Category Recognition Using Classemes , 2010, ECCV.
[61] Thomas Mensink,et al. Improving the Fisher Kernel for Large-Scale Image Classification , 2010, ECCV.
[62] Thomas S. Huang,et al. Image Classification Using Super-Vector Coding of Local Image Descriptors , 2010, ECCV.
[63] Vincent Lepetit,et al. BRIEF: Binary Robust Independent Elementary Features , 2010, ECCV.
[64] Cordelia Schmid,et al. Multiple Instance Metric Learning from Automatically Labeled Bags of Faces , 2010, ECCV.
[65] Cordelia Schmid,et al. Aggregating local descriptors into a compact image representation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[66] Yihong Gong,et al. Locality-constrained Linear Coding for image classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[67] Jean Ponce,et al. Learning mid-level features for recognition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[68] Andrew Zisserman,et al. Efficient additive kernels via explicit feature maps , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[69] Sébastien Ourselin,et al. Fast free-form deformation using graphics processing units , 2010, Comput. Methods Programs Biomed..
[70] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[71] Lin Xiao,et al. Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization , 2009, J. Mach. Learn. Res..
[72] Yoram Singer,et al. Efficient Online and Batch Learning Using Forward Backward Splitting , 2009, J. Mach. Learn. Res..
[73] Cordelia Schmid,et al. Is that you? Metric learning approaches for face identification , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[74] Tal Hassner,et al. Similarity Scores Based on Background Samples , 2009, ACCV.
[75] Vincent Lepetit,et al. Compact signatures for high-speed interest point description and matching , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[76] Shree K. Nayar,et al. Attribute and simile classifiers for face verification , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[77] Ali Farhadi,et al. A latent model of discriminative aspect , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[78] Andrew Zisserman,et al. Multiple kernels for object detection , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[79] C. Schmid,et al. On the burstiness of visual elements , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[80] Christoph H. Lampert,et al. Learning to detect unseen object classes by between-class attribute transfer , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[81] Yihong Gong,et al. Linear spatial pyramid matching using sparse coding for image classification , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[82] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[83] Jiri Matas,et al. Learning Fast Emulators of Binary Decision Processes , 2009, International Journal of Computer Vision.
[84] Nicolas Pinto,et al. How far can you get with a modern face recognition test set using only simple features? , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[85] Vincent Lepetit,et al. Keypoint Signatures for Fast Learning and Recognition , 2008, ECCV.
[86] Tom Drummond,et al. Faster and Better: A Machine Learning Approach to Corner Detection , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[87] Jelena Kovacevic,et al. An Introduction to Frames , 2008, Found. Trends Signal Process..
[88] Cor J. Veenman,et al. Kernel Codebooks for Scene Categorization , 2008, ECCV.
[89] Marwan Mattar,et al. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .
[90] Yaniv Taigman,et al. Descriptor Based Methods in the Wild , 2008 .
[91] Guillermo Sapiro,et al. Supervised Dictionary Learning , 2008, NIPS.
[92] Eli Shechtman,et al. In defense of Nearest-Neighbor based image classification , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[93] Vincent Lepetit,et al. A fast local descriptor for dense matching , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[94] Michael Isard,et al. Lost in quantization: Improving particular object retrieval in large scale image databases , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[95] Gang Hua,et al. Discriminant Embedding for Local Image Descriptors , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[96] Manik Varma,et al. Learning The Discriminative Power-Invariance Trade-Off , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[97] Erik G. Learned-Miller,et al. Unsupervised Joint Alignment of Complex Images , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[98] Pablo A. Parrilo,et al. Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization , 2007, SIAM Rev..
[99] Yoram Singer,et al. Pegasos: primal estimated sub-gradient solver for SVM , 2007, ICML '07.
[100] Michael Isard,et al. Object retrieval with large vocabularies and fast spatial matching , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[101] Florent Perronnin,et al. Fisher Kernels on Visual Vocabularies for Image Categorization , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[102] Vincent Lepetit,et al. Fast Keypoint Recognition in Ten Lines of Code , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[103] Dong Xu,et al. Trace Ratio vs. Ratio Trace for Dimensionality Reduction , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[104] Jacob D. Furst,et al. Content-based image retrieval for pulmonary computed tomography nodule images , 2007, SPIE Medical Imaging.
[105] Thomas Serre,et al. Robust Object Recognition with Cortex-Like Mechanisms , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[106] Lorenzo Torresani,et al. Large Margin Component Analysis , 2006, NIPS.
[107] Yoshua Bengio,et al. Greedy Layer-Wise Training of Deep Networks , 2006, NIPS.
[108] Matti Pietikäinen,et al. Face Description with Local Binary Patterns: Application to Face Recognition , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[109] Vincent Lepetit,et al. Keypoint recognition using randomized trees , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[110] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[111] Steven M. Seitz,et al. Photo tourism: exploring photo collections in 3D , 2006, ACM Trans. Graph..
[112] 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).
[113] Ankur Agarwal,et al. Hyperfeatures - Multilevel Local Coding for Visual Recognition , 2006, ECCV.
[114] Frédéric Jurie,et al. Sampling Strategies for Bag-of-Features Image Classification , 2006, ECCV.
[115] Kilian Q. Weinberger,et al. Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.
[116] Cordelia Schmid,et al. A Comparison of Affine Region Detectors , 2005, International Journal of Computer Vision.
[117] Yurii Nesterov,et al. Primal-dual subgradient methods for convex problems , 2005, Math. Program..
[118] Nathan Srebro,et al. Fast maximum margin matrix factorization for collaborative prediction , 2005, ICML.
[119] C. Jack,et al. Ways toward an early diagnosis in Alzheimer’s disease: The Alzheimer’s Disease Neuroimaging Initiative (ADNI) , 2005, Alzheimer's & Dementia.
[120] Jitendra Malik,et al. Shape matching and object recognition using low distortion correspondences , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[121] Pietro Perona,et al. A sparse object category model for efficient learning and exhaustive recognition , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[122] Hwann-Tzong Chen,et al. Local discriminant embedding and its variants , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[123] Yuxiao Hu,et al. Face recognition using Laplacianfaces , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[124] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[125] Yoram Singer,et al. Online and batch learning of pseudo-metrics , 2004, ICML.
[126] C. Jack,et al. Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD , 2004, Neurology.
[127] Antoine Geissbühler,et al. A Review of Content{Based Image Retrieval Systems in Medical Applications { Clinical Bene(cid:12)ts and Future Directions , 2022 .
[128] Xiaofei He,et al. Locality Preserving Projections , 2003, NIPS.
[129] Andrew Zisserman,et al. Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[130] Cordelia Schmid,et al. A performance evaluation of local descriptors , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[131] Anand Rangarajan,et al. A new point matching algorithm for non-rigid registration , 2003, Comput. Vis. Image Underst..
[132] Thorsten Joachims,et al. Optimizing search engines using clickthrough data , 2002, KDD.
[133] Cordelia Schmid,et al. An Affine Invariant Interest Point Detector , 2002, ECCV.
[134] Andrew Zisserman,et al. Multi-view Matching for Unordered Image Sets, or "How Do I Organize My Holiday Snaps?" , 2002, ECCV.
[135] Moses Charikar,et al. Similarity estimation techniques from rounding algorithms , 2002, STOC '02.
[136] Michael Kohnen,et al. Quality of DICOM header information for image categorization , 2002, SPIE Medical Imaging.
[137] Jitendra Malik,et al. Shape matching and object recognition using shape contexts , 2010, 2010 3rd International Conference on Computer Science and Information Technology.
[138] Koby Crammer,et al. On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines , 2002, J. Mach. Learn. Res..
[139] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[140] Heikki Mannila,et al. Random projection in dimensionality reduction: applications to image and text data , 2001, KDD '01.
[141] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[142] Stephen P. Boyd,et al. A rank minimization heuristic with application to minimum order system approximation , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).
[143] Jitendra Malik,et al. Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons , 2001, International Journal of Computer Vision.
[144] Mikhail Belkin,et al. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering , 2001, NIPS.
[145] Adam Baumberg,et al. Reliable feature matching across widely separated views , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[146] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[147] Daniel Rueckert,et al. Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.
[148] David Haussler,et al. Exploiting Generative Models in Discriminative Classifiers , 1998, NIPS.
[149] Tony Lindeberg,et al. Feature Detection with Automatic Scale Selection , 1998, International Journal of Computer Vision.
[150] Bernhard Schölkopf,et al. Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.
[151] Timothy F. Cootes,et al. Active Appearance Models , 1998, ECCV.
[152] Andrew Zisserman,et al. Wide baseline stereo matching , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[153] Terrence J. Sejnowski,et al. The “independent components” of natural scenes are edge filters , 1997, Vision Research.
[154] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[155] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[156] Paul A. Beardsley,et al. 3D Model Acquisition from Extended Image Sequences , 1996, ECCV.
[157] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[158] Rachid Deriche,et al. A Robust Technique for Matching two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry , 1995, Artif. Intell..
[159] Lawrence D. Jackel,et al. Backpropagation Applied to Handwritten Zip Code Recognition , 1989, Neural Computation.
[160] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[161] Kunihiko Fukushima,et al. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position , 1980, Biological Cybernetics.
[162] F ROSENBLATT,et al. The perceptron: a probabilistic model for information storage and organization in the brain. , 1958, Psychological review.
[163] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[164] Karl Pearson F.R.S.. LIII. On lines and planes of closest fit to systems of points in space , 1901 .
[165] Andrew Zisserman,et al. Fisher Vector Faces in the Wild , 2013, BMVC.
[166] Michael C. Hout,et al. Multidimensional Scaling , 2003, Encyclopedic Dictionary of Archaeology.
[167] Peter N. Belhumeur,et al. Tom-vs-Pete Classifiers and Identity-Preserving Alignment for Face Verification , 2012, BMVC.
[168] Pascal Fua,et al. LDAHash: Improved Matching with Smaller Descriptors , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[169] Umar Mohammed,et al. Probabilistic Models for Inference about Identity , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[170] Gang Hua,et al. Discriminative Learning of Local Image Descriptors , 1990, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[171] Andrew Zisserman,et al. The devil is in the details: an evaluation of recent feature encoding methods , 2011, BMVC.
[172] Max A. Viergever,et al. elastix: A Toolbox for Intensity-Based Medical Image Registration , 2010, IEEE Transactions on Medical Imaging.
[173] Tal Hassner,et al. Multiple One-Shots for Utilizing Class Label Information , 2009, BMVC.
[174] Marc Teboulle,et al. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..
[175] Christopher Hunt. SURF: Speeded-Up Robust Features , 2009 .
[176] Manfred K. Warmuth,et al. Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension , 2008 .
[177] Timothy F. Cootes,et al. Groupwise Construction of Appearance Models using Piece-wise Affine Deformations , 2005, BMVC.
[178] Gabriela Csurka,et al. Visual categorization with bags of keypoints , 2002, eccv 2004.
[179] Michael I. Jordan,et al. Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.
[180] Paul A. Viola,et al. Robust Real-time Object Detection , 2001 .
[181] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[182] Christopher G. Harris,et al. A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.
[183] Paul Beaudet,et al. Rotationally invariant image operators , 1978 .
[184] M. J. D. Powell,et al. An efficient method for finding the minimum of a function of several variables without calculating derivatives , 1964, Comput. J..
[185] D. Hubel,et al. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.