1859 search results - page 359 / 372 » Using Problems to Learn Service-Oriented Computing |
161
click to vote
SIAMIS
2010
14 years 6 months ago
2010
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
120
click to vote
ISVC
2007
Springer
15 years 5 months ago
2007
Springer
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
113
click to vote
MIR
2010
ACM
15 years 5 months ago
2010
ACM
In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
122
click to vote
GECCO
2008
Springer
15 years 23 days ago
2008
Springer
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
MOBISYS
2009
ACM
16 years 7 days ago
2009
ACM
Epilepsy affects over three million Americans of all ages. Despite recent advances, more than 20% of individuals with epilepsy never achieve adequate control of their seizures. Th...