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160
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CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
16 years 11 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...
139
Voted
ECCV
2008
Springer
16 years 6 months ago
Similarity Features for Facial Event Analysis
Each facial event will give rise to complex facial appearance variation. In this paper, we propose similarity features to describe the facial appearance for video-based facial even...
Peng Yang, Qingshan Liu, Dimitris N. Metaxas
SEKE
2005
Springer
15 years 10 months ago
Using Feature-Oriented Analysis to Recover Legacy Software Design for Software Evolution
Most design recovery approaches start from analysing source code. Nonetheless, it is very difficult to get adequate design information only depending on source code. Additional av...
Shaoyun Li, Feng Chen, Zhihong Liang, Hongji Yang
TCSV
2008
202views more  TCSV 2008»
15 years 4 months ago
Probabilistic Object Tracking With Dynamic Attributed Relational Feature Graph
Object tracking is one of the fundamental problems in computer vision and has received considerable attention in the past two decades. The success of a tracking algorithm relies on...
Feng Tang, Hai Tao
137
Voted
VC
2008
156views more  VC 2008»
15 years 4 months ago
Spline-based feature curves from point-sampled geometry
Defining sharp features in a 3D model facilitates a better understanding of the surface and aids geometric processing and graphics applications, such as reconstruction, filtering, ...
Joel Daniels II, Tilo Ochotta, Linh K. Ha, Cl&aacu...