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CVPR
2008
IEEE
14 years 10 months ago
Incremental learning of nonparametric Bayesian mixture models
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
Ryan Gomes, Max Welling, Pietro Perona
MEDES
2009
ACM
14 years 1 months ago
Web page ranking based on fuzzy and learning automata
The main goal of web pages ranking is to find the interrelated pages. In this paper, we introduce an algorithm called FPR-DLA. In the proposed method learning automata is assigned...
Zohreh Anari, Mohammad Reza Meybodi, Babak Anari
SOCRATES
2008
151views Education» more  SOCRATES 2008»
13 years 10 months ago
Learning Translation Strategies in a CSCL Framework
This study investigated the extent to which the social constructivist approach can be applied to the teaching/learning of translation strategies in an e-learning environment. To a...
Viviana Gaballo
ICMI
2003
Springer
96views Biometrics» more  ICMI 2003»
14 years 2 months ago
Learning and reasoning about interruption
We present methods for inferring the cost of interrupting users based on multiple streams of events including information generated by interactions with computing devices, visual ...
Eric Horvitz, Johnson Apacible
NIPS
2004
13 years 10 months ago
Incremental Learning for Visual Tracking
Most existing tracking algorithms construct a representation of a target object prior to the tracking task starts, and utilize invariant features to handle appearance variation of...
Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hs...