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ICML
2004
IEEE
15 years 10 months ago
The multiple multiplicative factor model for collaborative filtering
We describe a class of causal, discrete latent variable models called Multiple Multiplicative Factor models (MMFs). A data vector is represented in the latent space as a vector of...
Benjamin M. Marlin, Richard S. Zemel
HAIS
2009
Springer
15 years 2 months ago
Unsupervised Feature Selection in High Dimensional Spaces and Uncertainty
Developing models and methods to manage data vagueness is a current effervescent research field. Some work has been done with supervised problems but unsupervised problems and unce...
José Ramón Villar, María del ...
SIGIR
2006
ACM
15 years 3 months ago
Feature diversity in cluster ensembles for robust document clustering
The performance of document clustering systems depends on employing optimal text representations, which are not only difficult to determine beforehand, but also may vary from one ...
Xavier Sevillano, Germán Cobo, Francesc Al&...
ICCV
2009
IEEE
2205views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Video stabilization using robust feature trajectories
This paper proposes a new approach for video stabilization. Most existing video stabilization methods adopt a framework of three steps, motion estimation, motion compensation an...
Ken-Yi Lee, Yung-Yu, Chuang Bing-Yu, Chen Ming Ouh...
CVPR
2010
IEEE
15 years 2 months ago
Person Re-Identification by Symmetry-Driven Accumulation of Local Features
In this paper, we present an appearance-based method for person re-identification. It consists in the extraction of features that model three complementary aspects of the human ap...
Michela Farenzena, Loris Bazzani, Alessandro Perin...