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» SMEM Algorithm for Mixture Models
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SIGIR
2003
ACM
15 years 11 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
ICASSP
2011
IEEE
14 years 9 months ago
An acoustically-motivated spatial prior for under-determined reverberant source separation
We consider the task of under-determined reverberant audio source separation. We model the contribution of each source to all mixture channels in the time-frequency domain as a ze...
Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gr...
SIGIR
2006
ACM
15 years 12 months ago
Text clustering with extended user feedback
Text clustering is most commonly treated as a fully automated task without user feedback. However, a variety of researchers have explored mixed-initiative clustering methods which...
Yifen Huang, Tom M. Mitchell
ACCV
2010
Springer
15 years 1 months ago
MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos
Abstract. Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model i...
Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian...
MVA
2008
305views Computer Vision» more  MVA 2008»
15 years 5 months ago
A new graph cut-based multiple active contour algorithm without initial contours and seed points
This paper presents a new graph cut-based multiple active contour algorithm to detect optimal boundaries and regions in images without initial contours and seed points. The task of...
Jong-Sung Kim, Ki-Sang Hong