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» A selective sampling approach to active feature selection
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JMLR
2010
136views more  JMLR 2010»
14 years 4 months ago
Reducing Label Complexity by Learning From Bags
We consider a supervised learning setting in which the main cost of learning is the number of training labels and one can obtain a single label for a bag of examples, indicating o...
Sivan Sabato, Nathan Srebro, Naftali Tishby
ACII
2011
Springer
13 years 10 months ago
A Psychologically-Inspired Match-Score Fusion Model for Video-Based Facial Expression Recognition
Communication between humans is rich in complexity and is not limited to verbal signals; emotions are conveyed with gesture, pose and facial expression. Facial Emotion Recognition ...
Albert Cruz, Bir Bhanu, Songfan Yang
CORR
2012
Springer
183views Education» more  CORR 2012»
13 years 5 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar
HPDC
2006
IEEE
15 years 3 months ago
ALPS: An Application-Level Proportional-Share Scheduler
ALPS is a per-application user-level proportional-share scheduler that operates with low overhead and without any special kernel support. ALPS is useful to a range of applications...
Travis Newhouse, Joseph Pasquale
MM
2006
ACM
145views Multimedia» more  MM 2006»
15 years 3 months ago
Interactive mosaic generation for video navigation
Navigation through large multimedia collections that include videos and images still remains a hard problem. In this paper, we introduce a novel method to visualize and navigate t...
Kihwan Kim, Irfan A. Essa, Gregory D. Abowd