Learning Invariant Features through Topographic Filter Maps

by Koray Kavukcuoglu , Rob Fergus , Yann Lecun
Citations:68 - 12 self

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6 Unsupervised Learning of Feature Hierarchies – Marc'Aurelio Ranzato - 2009
Learning Feature Hierarchies . . . – Koray Kavukcuoglu - 2011
103 What is the Best Multi-Stage Architecture for Object Recognition? – Kevin Jarrett, Koray Kavukcuoglu, Yann Lecun
UNSUPERVISED FEATURE LEARNING VIA SPARSE HIERARCHICAL REPRESENTATIONS – Honglak Lee
14 Are Sparse Representations Really Relevant for Image Classification? – Roberto Rigamonti, Matthew A. Brown, Vincent Lepetit - 2011
On the Relevance of Sparsity for Image Classification ⋆ – Roberto Rigamonti, Vincent Lepetit, Germán González, Engin Türetken, Fethallah Benmansour, Matthew Brown, Pascal Fua - 2012
Large-scale FPGA-based . . . – Clément Farabet, Yann LeCun, Koray Kavukcuoglu, Eugenio Culurciello, Berin Martini, Polina Akselrod, Selcuk Talay - 2011
5 Learning invariant feature hierarchies – Yann Lecun - 2012
31 Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images – Marc' Aurelio Ranzato, Alex Krizhevsky, Geoffrey E. Hinton - 2010
36 Fast inference in sparse coding algorithms with applications to object recognition – Koray Kavukcuoglu, Yann Lecun
Is Sparsity Really Relevant for Image Classification? – Roberto Rigamonti, et al. - 2010
19 Learning Convolutional Feature Hierarchies for Visual Recognition – Koray Kavukcuoglu, Pierre Sermanet, Y-lan Boureau, Karol Gregor, Michaël Mathieu, Yann Lecun
2 NeuFlow: A Runtime Reconfigurable Dataflow Processor for Vision – Clément Farabet, et al.
109 Unsupervised learning of invariant feature hierarchies with application to object recognition.” CVPR, 2007. 1 Data Driven HMC Algorithm. DDHMC (motion-based proposals) 1: Initialize chain with τo 2: for i = 1 to nsamples do 3: // 1. Data-Driven: Get Propo – Fu-jie Huang, Y-lan Boureau, Yann Lecun
Learning Component-Level Sparse Representation Using Histogram Information for Image Classification – Chen-kuo Chiang, Chih-hsueh Duan, Shang-hong Lai, Shih-fu Chang
10 Convolutional Networks and Applications in Vision – Yann Lecun, Koray Kavukcuoglu, Clément Farabet
Learning Mid-Level features . . . – Y-lan Boureau, Francis Bach, Yann Lecun , Jean Ponce
MORIOKA, SATOH: LEARNING DIRECTIONAL LOCAL PAIRWISE BASES 1 Learning Directional Local Pairwise Bases with Sparse Coding – Nobuyuki Morioka
10 A Theoretical Analysis of Feature Pooling in Visual Recognition – Y-Lan Boureau, Jean Ponce, Yann Lecun - 2010