340 search results - page 41 / 68 » Linear Dependent Dimensionality Reduction |
127
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NIPS
2004
15 years 6 months ago
2004
In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic v...
183
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ICML
2006
IEEE
2006
IEEE
Automatic basis function construction for approximate dynamic programming and reinforcement learning
15 years 11 months ago
We address the problem of automatically constructing basis functions for linear approximation of the value function of a Markov Decision Process (MDP). Our work builds on results ...
163
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ICASSP
2010
IEEE
15 years 5 months ago
2010
IEEE
The problem of minimizing the rank of a matrix subject to linear equality constraints arises in applications in machine learning, dimensionality reduction, and control theory, and...
155
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ICCV
1999
IEEE
16 years 7 months ago
1999
IEEE
The motion of a planar surface between two camera views induces a homography. The homography depends on the cameraintrinsic and extrinsic parameters, as well as on the 3D plane pa...
184
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KDD
2007
ACM
16 years 5 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...