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120
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JCIT
2008
129views more  JCIT 2008»
15 years 2 months ago
A New Rule Scheduling Approach based on Estimation of Rule Execution Probability in Active Database
Active database systems (ADBS) can, automatically, react to the occurrence of predefined events by definition a collection of active rules. One of the most important modules of AD...
Abbas Rasoolzadegan, Rohollah Alesheykh, Ahmad Abd...
103
Voted
IJON
2010
181views more  IJON 2010»
15 years 1 months ago
Active learning with extremely sparse labeled examples
An active learner usually assumes there are some labeled data available based on which a moderate classifier is learned and then examines unlabeled data to manually label the mos...
Shiliang Sun, David R. Hardoon
128
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IVC
2010
143views more  IVC 2010»
15 years 1 months ago
Video-based face model fitting using Adaptive Active Appearance Model
Active Appearance Model (AAM) represents the shape and appearance of an object via two low-dimensional subspaces, one for shape and one for appearance. AAM for facial images is cu...
Xiaoming Liu
156
Voted
PAMI
2007
214views more  PAMI 2007»
15 years 2 months ago
Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours
—Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Kalman filters or part...
Yogesh Rathi, Namrata Vaswani, Allen Tannenbaum, A...
ICML
2009
IEEE
16 years 3 months ago
Optimized expected information gain for nonlinear dynamical systems
This paper addresses the problem of active model selection for nonlinear dynamical systems. We propose a novel learning approach that selects the most informative subset of time-d...
Alberto Giovanni Busetto, Cheng Soon Ong, Joachim ...