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» SMEM Algorithm for Mixture Models
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SIGIR
2003
ACM
15 years 3 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 1 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 3 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
14 years 5 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»
14 years 9 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