654 search results - page 20 / 131 » TRUST-TECH based Methods for Optimization and Learning |
107
Voted
ECCV
2008
Springer
16 years 2 months ago
2008
Springer
We propose a new local learning scheme that is based on the principle of decisiveness: the learned classifier is expected to exhibit large variability in the direction of the test ...
135
Voted
DEXAW
2010
IEEE
15 years 25 days ago
2010
IEEE
— One of the central issues in Learning to Rank (L2R) for Information Retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures ...
120
Voted
ECCV
2010
Springer
15 years 3 months ago
2010
Springer
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional structure plus unbounded but spa...
108
Voted
DAGM
2006
Springer
15 years 4 months ago
2006
Springer
In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...
104
click to vote
ICASSP
2009
IEEE
15 years 7 months ago
2009
IEEE
This paper considers a method for learning a distance metric in a fingerprinting system which identifies a query content by measuring the distance between the fingerprint of th...