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ICML
2004
IEEE
16 years 2 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
PAMI
2008
231views more  PAMI 2008»
15 years 1 months ago
Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors
This paper describes methods for recovering time-varying shape and motion of nonrigid 3D objects from uncalibrated 2D point tracks. For example, given a video recording of a talkin...
Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...
ECTEL
2010
Springer
14 years 10 months ago
GVIS: A Facility for Adaptively Mashing Up and Representing Open Learner Models
In this article we present an infrastructure for creating mash up and visual representations of the user profile that combine data from different sources. We explored this approach...
Luca Mazzola, Riccardo Mazza
ECIS
2000
15 years 2 months ago
Software Process Management: An Organizational Learning Perspective
We draw from the quality management and organizational learning literatures to develop a descriptive model of software process management. These literature streams suggest that the...
Thiagarajan Ravichandran, Arun Rai
IPM
2008
139views more  IPM 2008»
15 years 1 months ago
Complex adaptive filtering user profile using graphical models
This article explores how to develop complex data driven user models that go beyond the bag of words model and topical relevance. We propose to learn from rich user specific info...
Yi Zhang 0001