5771 search results - page 326 / 1155 » Learning similarity space |
187
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Given a finite number of data points sampled from a low-dimensional manifold embedded in a high dimensional space together with the parameter vectors for a subset of the data poin...
184
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric lear...
185
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ICML
1999
IEEE
16 years 7 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
189
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ILP
2005
Springer
16 years 8 days ago
2005
Springer
Online learning algorithms such as Winnow have received much attention in Machine Learning. Their performance degrades only logarithmically with the input dimension, making them us...
201
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ICML
2004
IEEE
16 years 5 days ago
2004
IEEE
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...