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» Using Problems to Learn Service-Oriented Computing
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SIGCSE
2005
ACM
146views Education» more  SIGCSE 2005»
15 years 12 months ago
Using image processing projects to teach CS1 topics
As Computer Science educators, we know that students learn more from projects that are fun and challenging, that seem “real” to them, and that allow them to be creative in des...
Richard Wicentowski, Tia Newhall
CHI
2009
ACM
16 years 7 months ago
Two studies of opportunistic programming: interleaving web foraging, learning, and writing code
This paper investigates the role of online resources in problem solving. We look specifically at how programmers--an exemplar form of knowledge workers--opportunistically interlea...
Joel Brandt, Philip J. Guo, Joel Lewenstein, Mira ...
208
Voted
CVPR
2010
IEEE
16 years 14 days ago
Putting local features on a Manifold
Local features have proven very useful for recognition. Manifold learning has proven to be a very powerful tool in data analysis. However, manifold learning application for imag...
Marwan Torki and Ahmed Elgammal
180
Voted
ECCV
2008
Springer
16 years 8 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
16 years 15 days ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden