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SIGIR
2003
ACM
15 years 9 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
123
Voted
CAL
2006
15 years 4 months ago
Probabilistic counter updates for predictor hysteresis and bias
Hardware predictor designers have incorporated hysteresis and/or bias to achieve desired behavior by increasing the number of bits per counter. Some resulting proposed predictor de...
Nicholas Riley, Craig B. Zilles
ICCV
2011
IEEE
14 years 4 months ago
Probabilistic Group-Level Motion Analysis and Scenario Recognition
This paper addresses the challenge of recognizing behavior of groups of individuals in unconstraint surveillance environments. As opposed to approaches that rely on agglomerative ...
Ming-Ching Chang, Nils Krahnstoever, Weina Ge
ICRA
2005
IEEE
102views Robotics» more  ICRA 2005»
15 years 9 months ago
SLAM using Incremental Probabilistic PCA and Dimensionality Reduction
— The recent progress in robot mapping (or SLAM) algorithms has focused on estimating either point features (such as landmarks) or grid-based representations. Both of these repre...
Emma Brunskill, Nicholas Roy
157
Voted
TMM
2010
181views Management» more  TMM 2010»
14 years 11 months ago
Mining Group Nonverbal Conversational Patterns Using Probabilistic Topic Models
Abstract--The automatic discovery of group conversational behavior is a relevant problem in social computing. In this paper, we present an approach to address this problem by defin...
Dinesh Babu Jayagopi, Daniel Gatica-Perez