990 search results - page 183 / 198 » Learning with non-positive kernels |
118
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ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
127
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ICIP
2007
IEEE
16 years 3 months ago
2007
IEEE
Abstract - The proposed algorithm in this work provides superresolution for color images by using a learning based technique that utilizes both generative and discriminant approach...
120
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ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
124
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CGO
2010
IEEE
15 years 8 months ago
2010
IEEE
Tiling is a widely used loop transformation for exposing/exploiting parallelism and data locality. Effective use of tiling requires selection and tuning of the tile sizes. This is...
105
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ICML
2009
IEEE
15 years 8 months ago
2009
IEEE
We consider the problem of selecting a subset of m most informative features where m is the number of required features. This feature selection problem is essentially a combinator...