1403 search results - page 12 / 281 » Sampling Techniques for Kernel Methods |
78
Voted
CVPR
2007
IEEE
15 years 4 months ago
2007
IEEE
This paper describes a local ensemble kernel learning technique to recognize/classify objects from a large number of diverse categories. Due to the possibly large intraclass featu...
IWANN
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. This paper presents a study in which a new technique for automatically developing Artificial Neural Networks (ANNs) by means of Evolutionary Computation (EC) tools is com...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
In high-dimensional classification problems it is infeasible to include enough training samples to cover the class regions densely. Irregularities in the resulting sparse sample d...
BICOB
2010
Springer
14 years 7 months ago
2010
Springer
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
FOCS
2000
IEEE
15 years 2 months ago
2000
IEEE
For many probability distributions of interest, it is quite difficult to obtain samples efficiently. Often, Markov chains are employed to obtain approximately random samples fro...