Convolutional Kernel Networks

Convolutional Kernel Networks

12 June 2014

Zaïd Harchaoui

Cordelia Schmid

Papers citing "Convolutional Kernel Networks"

13 / 63 papers shown

Title
Embedding based on function approximation for large scale image search Thanh-Toan Do Ngai-man Cheung 25 40 0 23 May 2016
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks Julien Mairal SSL 34 130 0 20 May 2016
Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons (Extended Version) Piotr Koniusz A. Cherian Fatih Porikli 12 114 0 01 Apr 2016
Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach Mattis Paulin Julien Mairal Matthijs Douze Zaïd Harchaoui Florent Perronnin Cordelia Schmid SSL 25 65 0 01 Mar 2016
Sparse Coding with Fast Image Alignment via Large Displacement Optical Flow Xiaoxia Sun Nasser M. Nasrabadi T. Tran 6 1 0 21 Dec 2015
A Unified Gradient Regularization Family for Adversarial Examples Chunchuan Lyu Kaizhu Huang Hai-Ning Liang AAML 16 207 0 19 Nov 2015
Adaptive Normalized Risk-Averting Training For Deep Neural Networks Zhiguang Wang Tim Oates J. Lo 33 6 0 08 Jun 2015
Learning with Group Invariant Features: A Kernel Perspective Youssef Mroueh S. Voinea T. Poggio VLM 17 35 0 08 Jun 2015
Stacked What-Where Auto-encoders Jun Zhao Michaël Mathieu Ross Goroshin Yann LeCun DiffM BDL 24 258 0 08 Jun 2015
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 207 745 0 06 Jun 2015
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? Raja Giryes Guillermo Sapiro A. Bronstein 43 187 0 30 Apr 2015
Enhanced Image Classification With a Fast-Learning Shallow Convolutional Neural Network Mark D Mcdonnell Tony Vladusich 29 84 0 16 Mar 2015
Measuring and Understanding Sensory Representations within Deep Networks Using a Numerical Optimization Framework Chuan-Yung Tsai David D. Cox 24 7 0 17 Feb 2015