1900 search results - page 244 / 380 » Gaussian Processes in Machine Learning |
109
Voted
NN
2008
Springer
15 years 15 days ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
160
Voted
JMLR
2012
13 years 3 months ago
2012
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
132
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PAMI
2012
13 years 3 months ago
2012
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
106
Voted
DAGM
2004
Springer
15 years 6 months ago
2004
Springer
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
117
Voted
PAMI
2010
14 years 11 months ago
2010
—This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature selection algorithm that addres...