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JMLR
2006
104views more  JMLR 2006»
13 years 8 months ago
Learning Image Components for Object Recognition
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
Michael W. Spratling
INTERSPEECH
2010
13 years 3 months ago
A factorial sparse coder model for single channel source separation
We propose a probabilistic factorial sparse coder model for single channel source separation in the magnitude spectrogram domain. The mixture spectrogram is assumed to be the sum ...
Robert Peharz, Michael Stark, Franz Pernkopf, Yann...
PPOPP
1991
ACM
14 years 1 days ago
Coarse-Grain Parallel Programming in Jade
This paper presents Jade, a language which allows a programmer to easily express dynamic coarse-grain parallelism. Starting with a sequential program, a programmer augments those ...
Monica S. Lam, Martin C. Rinard
CVPR
2006
IEEE
14 years 10 months ago
Learning Semantic Patterns with Discriminant Localized Binary Projections
In this paper, we present a novel approach to learning semantic localized patterns with binary projections in a supervised manner. The pursuit of these binary projections is refor...
Shuicheng Yan, Tianqiang Yuan, Xiaoou Tang
ICRA
1999
IEEE
96views Robotics» more  ICRA 1999»
14 years 24 days ago
Interactive Manipulation of Articulated Objects with Geometry Awareness
Techniques for interactive 3D manipulation of articulated objects in cluttered environments should be geometricallyaware, going beyond basic inverse or forward kinematics to allow...
Min-Hyung Choi, James F. Cremer