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GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
13 years 11 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
CVPR
2008
IEEE
14 years 8 months ago
Auto-context and its application to high-level vision tasks
The notion of using context information for solving highlevel vision problems has been increasingly realized in the field. However, how to learn an effective and efficient context...
Zhuowen Tu
DAC
2002
ACM
14 years 7 months ago
Scheduler-based DRAM energy management
Previous work on DRAM power-mode management focused on hardware-based techniques and compiler-directed schemes to explicitly transition unused memory modules to low-power operatin...
Victor Delaluz, Anand Sivasubramaniam, Mahmut T. K...
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 6 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
CIKM
2009
Springer
14 years 26 days ago
Incremental query evaluation for support vector machines
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
Danzhou Liu, Kien A. Hua