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CVPR
2009
IEEE
16 years 10 months ago
Learning to Track with Multiple Observers
We propose a novel approach to designing algorithms for object tracking based on fusing multiple observation models. As the space of possible observation models is too large for...
Björn Stenger, Roberto Cipolla, Thomas Woodle...
CORR
2006
Springer
111views Education» more  CORR 2006»
15 years 3 months ago
An associative memory for the on-line recognition and prediction of temporal sequences
This paper presents the design of an associative memory with feedback that is capable of on-line temporal sequence learning. A framework for on-line sequence learning has been prop...
Joy Bose, Stephen B. Furber, Jonathan L. Shapiro
CIBCB
2006
IEEE
15 years 9 months ago
A Model-Free Greedy Gene Selection for Microarray Sample Class Prediction
— Microarray data analysis is notoriously challenging as it involves a huge number of genes compared to only a limited number of samples. Gene selection, to detect the most signi...
Yi Shi, Zhipeng Cai, Lizhe Xu, Wei Ren, Randy Goeb...
VSTTE
2005
Springer
15 years 8 months ago
Linking the Meaning of Programs to What the Compiler Can Verify
We formulate some research and development challenges that relate what a verifying compiler can verify to the definition and analysis of the application-content of programs, where...
Egon Börger
INTEGRATION
2010
172views more  INTEGRATION 2010»
15 years 1 months ago
Analog circuits optimization based on evolutionary computation techniques
1 — This paper presents a new design automation tool based on a modified genetic algorithm kernel, in order to increase efficiency on the analog circuit and system design cycle. ...
Manuel F. M. Barros, Jorge Guilherme, Nuno Horta