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» A Constraint Learning Algorithm for Blind Source Separation
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ECCV
2008
Springer
14 years 9 months ago
Learning Two-View Stereo Matching
We propose a graph-based semi-supervised symmetric matching framework that performs dense matching between two uncalibrated wide-baseline images by exploiting the results of sparse...
Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Q...
SIGMOD
2008
ACM
95views Database» more  SIGMOD 2008»
14 years 7 months ago
Interactive generation of integrated schemas
Schema integration is the problem of creating a unified target schema based on a set of existing source schemas that relate to each other via specified correspondences. The unifie...
Laura Chiticariu, Phokion G. Kolaitis, Lucian Popa
FGR
2004
IEEE
127views Biometrics» more  FGR 2004»
13 years 11 months ago
Gait Style and Gait Content: Bilinear Models for Gait Recognition Using Gait Re-sampling
Human Identification using gait is a challenging computer vision task due to the dynamic motion of gait and the existence of various sources of variations such as viewpoint, walki...
Chan-Su Lee, Ahmed M. Elgammal
ICASSP
2011
IEEE
12 years 11 months ago
Reconstructing completely overlapped notes from musical mixtures
In mixtures of musical sounds, the problem of overlapped harmonics poses a significant challenge to source separation. Common Amplitude Modulation (CAM) is one of the most effect...
Jinyu Han, Bryan Pardo
BMCBI
2007
133views more  BMCBI 2007»
13 years 7 months ago
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...