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NECO
2007
150views more  NECO 2007»
14 years 9 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
JIDM
2010
145views more  JIDM 2010»
14 years 8 months ago
Mining Relevant and Extreme Patterns on Climate Time Series with CLIPSMiner
One of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensification of na...
Luciana A. S. Romani, Ana Maria Heuminski de &Aacu...
LCTRTS
2010
Springer
14 years 8 months ago
Compiler directed network-on-chip reliability enhancement for chip multiprocessors
Chip multiprocessors (CMPs) are expected to be the building blocks for future computer systems. While architecting these emerging CMPs is a challenging problem on its own, program...
Ozcan Ozturk, Mahmut T. Kandemir, Mary Jane Irwin,...
CVPR
2009
IEEE
16 years 5 months ago
Building text features for object image classification
We introduce a text-based image feature and demon- strate that it consistently improves performance on hard object classification problems. The feature is built using an auxilia...
David A. Forsyth, Derek Hoiem, Gang Wang
CVPR
2009
IEEE
16 years 5 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...