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CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
15 years 5 months ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...
ICIP
2008
IEEE
14 years 12 months ago
Super-resolution of video using key frames and motion estimation
Many scalable video coding systems use frame downsampling in order to reduce complexity and to enable enhancement layers. Super-resolution (SR) can be used to help the up-sampling...
Fernanda Brandi, Ricardo L. de Queiroz, Debargha M...
ICIP
2006
IEEE
14 years 11 months ago
Multi Source Streaming for Robust Video Transmission in Mobile Ad-Hoc Networks
Video transmission over networks is getting increasingly important, thus upcoming network types like Mobile Ad-Hoc Networks (MANETs) can also become a suitable platform for exchan...
Cornelius Hellge, Karsten Gänger, Thomas Schi...
ICIP
2003
IEEE
14 years 11 months ago
Layer-correlated motion estimation and motion vector coding for the 3D-wavelet video coding
This paper proposes an efficient layer-correlated scheme to reduce the bit cost for motion vectors in the 3D wavelet coding. Previous works show that incorporating motion alignmen...
Lin Luo, Feng Wu, Shipeng Li, Zhenquan Zhuang
ICIAP
2005
ACM
14 years 10 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...