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NIPS
2007
14 years 11 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
NIPS
2003
14 years 11 months ago
Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation
The detection and pose estimation of people in images and video is made challenging by the variability of human appearance, the complexity of natural scenes, and the high dimensio...
Leonid Sigal, Michael Isard, Benjamin H. Sigelman,...
VMV
2003
143views Visualization» more  VMV 2003»
14 years 11 months ago
Animating a Camera for Viewing a Planar Polygon
Many applications, ranging from visualization applications such as architectural walkthroughs to robotic applications such as surveillance, could benefit from an automatic camera ...
Daniel Brunstein, Gill Barequet, Craig Gotsman
WSCG
2003
139views more  WSCG 2003»
14 years 11 months ago
Online Accelerated Rendering of Visual Hulls in Real Scenes
This paper presents an online system which is capable of reconstructing and rendering dynamic objects in real scenes. We reconstruct visual hulls of the objects by using a shape-f...
Ming Li, Marcus A. Magnor, Hans-Peter Seidel
ICML
2010
IEEE
14 years 10 months ago
Submodular Dictionary Selection for Sparse Representation
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
Andreas Krause, Volkan Cevher