590 search results - page 77 / 118 » Can We Learn to Beat the Best Stock |
107
click to vote
ISBI
2009
IEEE
15 years 4 months ago
2009
IEEE
In live-cell fluorescence microscopy imaging, quantitative analysis of biological image data generally involves the detection of many subresolution objects, appearing as diffract...
133
click to vote
CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Autonomous systems which learn and utilize a limited
visual vocabulary have wide spread applications.
Enabling such systems to segment a set of cluttered scenes
into objects is ...
108
click to vote
CVPR
2011
IEEE
14 years 6 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
GECCO
2007
Springer
15 years 1 months ago
2007
Springer
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
114
click to vote
ML
2008
ACM
14 years 9 months ago
2008
ACM
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...