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Stacked Approximated Regression Machine: A Simple Deep Learning Approach

Stacked Approximated Regression Machine: A Simple Deep Learning Approach

14 August 2016
Zhangyang Wang
Shiyu Chang
Qing Ling
Shuai Huang
Xia Hu
Honghui Shi
Thomas S. Huang
    BDL
ArXivPDFHTML

Papers citing "Stacked Approximated Regression Machine: A Simple Deep Learning Approach"

13 / 13 papers shown
Title
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
525
37,806
0
20 May 2016
Maximal Sparsity with Deep Networks?
Maximal Sparsity with Deep Networks?
Bo Xin
Yizhou Wang
Wen Gao
David Wipf
3DPC
67
167
0
05 May 2016
Learning A Deep $\ell_\infty$ Encoder for Hashing
Learning A Deep ℓ∞\ell_\inftyℓ∞​ Encoder for Hashing
Zhangyang Wang
Yingzhen Yang
Shiyu Chang
Qing Ling
Thomas S. Huang
47
9
0
06 Apr 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
326
10,172
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
Learning A Task-Specific Deep Architecture For Clustering
Learning A Task-Specific Deep Architecture For Clustering
Zhangyang Wang
Shiyu Chang
Jiayu Zhou
Meng Wang
Thomas S. Huang
47
81
0
01 Sep 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
415
43,234
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
276
18,587
0
06 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.3K
100,213
0
04 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLM
BDL
3DV
247
14,704
0
20 Jun 2014
PCANet: A Simple Deep Learning Baseline for Image Classification?
PCANet: A Simple Deep Learning Baseline for Image Classification?
Tsung-Han Chan
Kui Jia
Shenghua Gao
Jiwen Lu
Zinan Zeng
Yi-An Ma
110
1,498
0
14 Apr 2014
Learning efficient sparse and low rank models
Learning efficient sparse and low rank models
Pablo Sprechmann
A. Bronstein
Guillermo Sapiro
150
192
0
14 Dec 2012
Invariant Scattering Convolution Networks
Invariant Scattering Convolution Networks
Joan Bruna
S. Mallat
109
1,275
0
05 Mar 2012
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