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» Using a probabilistic source model for comparing images
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SIGIR
2006
ACM
14 years 7 days ago
Probabilistic latent query analysis for combining multiple retrieval sources
Combining the output from multiple retrieval sources over the same document collection is of great importance to a number of retrieval tasks such as multimedia retrieval, web retr...
Rong Yan, Alexander G. Hauptmann
ICMCS
2006
IEEE
167views Multimedia» more  ICMCS 2006»
14 years 9 days ago
Mining Relationship Between Video Concepts using Probabilistic Graphical Models
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. These semantic concepts do not exist in isolatio...
Rong Yan, Ming-yu Chen, Alexander G. Hauptmann
CVPR
1998
IEEE
14 years 8 months ago
Comparing Images under Variable Illumination
We consider the problem of determining whether two images come from different objects or the same object in the same pose, but under different illumination conditions. We show tha...
David W. Jacobs, Peter N. Belhumeur, Ronen Basri
ICC
2007
IEEE
117views Communications» more  ICC 2007»
14 years 18 days ago
Comparing Different Transmission Strategies Using Turbo Codes for Nonuniform Memoryless Sources
— Nonuniform sources can be found in real world applications as uncompressed speech, text and medical images. In this paper we compare the performance of three different methods ...
Gilberto Titericz Jr., Richard Demo Souza, Javier ...
INTERSPEECH
2010
13 years 1 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...