202 search results - page 22 / 41 » How Local Should a Learning Method Be |
145
Voted
ICCV
2009
IEEE
16 years 5 months ago
2009
IEEE
In this paper we propose a novel computational method to infer visual saliency in images. The method is based on the idea that salient objects should have local characteristics tha...
139
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UAI
2008
15 years 3 months ago
2008
An efficient policy search algorithm should estimate the local gradient of the objective function, with respect to the policy parameters, from as few trials as possible. Whereas m...
154
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KDD
2008
ACM
16 years 2 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
120
Voted
CVPR
2010
IEEE
15 years 2 months ago
2010
IEEE
We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should ...
127
Voted
ASPLOS
2010
ACM
15 years 9 months ago
2010
ACM
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...