4660 search results - page 474 / 932 » Learning from imperfect data |
177
Voted
SDM
2009
SIAM
16 years 4 months ago
2009
SIAM
Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluat...
200
Voted
DAGM
2009
Springer
16 years 1 months ago
2009
Springer
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
196
Voted
MM
2004
ACM
16 years 9 days ago
2004
ACM
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
147
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ITS
2010
Springer
15 years 11 months ago
2010
Springer
The use of technology for instruction, and the enormous amount of information available for consumption, places a considerable burden on instructors who must learn to integrate app...
213
Voted
AAAI
2010
15 years 8 months ago
2010
Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...