340 search results - page 41 / 68 » Linear Dependent Dimensionality Reduction |
NIPS
2004
13 years 9 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...
ICML
2006
IEEE
2006
IEEE
Automatic basis function construction for approximate dynamic programming and reinforcement learning
14 years 1 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 ...
ICASSP
2010
IEEE
13 years 7 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...
ICCV
1999
IEEE
14 years 9 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...
KDD
2007
ACM
14 years 8 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...