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UAI
2004
15 years 3 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
147
Voted
CODES
2010
IEEE
14 years 12 months ago
Accurate online power estimation and automatic battery behavior based power model generation for smartphones
This paper describes PowerBooter, an automated power model construction technique that uses built-in battery voltage sensors and knowledge of battery discharge behavior to monitor...
Lide Zhang, Birjodh Tiwana, Zhiyun Qian, Zhaoguang...
152
Voted
CIVR
2010
Springer
247views Image Analysis» more  CIVR 2010»
14 years 9 months ago
Coherent bag-of audio words model for efficient large-scale video copy detection
Current content-based video copy detection approaches mostly concentrate on the visual cues and neglect the audio information. In this paper, we attempt to tackle the video copy d...
Yang Liu, Wanlei Zhao, Chong-Wah Ngo, Changsheng X...
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
15 years 8 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
141
Voted
TMI
2010
175views more  TMI 2010»
14 years 9 months ago
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
Thomas Vincent, Laurent Risser, Philippe Ciuciu