403 search results - page 65 / 81 » Metric and Kernel Learning Using a Linear Transformation |
157
click to vote
CVPR
2005
IEEE
15 years 3 months ago
2005
IEEE
The segmentation of anatomical structures has been traditionally formulated as a perceptual grouping task, and solved through clustering and variational approaches. However, such ...
109
Voted
ATAL
2008
Springer
15 years 3 months ago
2008
Springer
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
107
click to vote
CORR
2007
Springer
15 years 1 months ago
2007
Springer
We propose a new graph representation for ISI channels that can be used for combined equalization and decoding by linear programming (LP) or iterative message-passing (IMP) decodi...
116
click to vote
ICML
1997
IEEE
16 years 2 months ago
1997
IEEE
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
141
click to vote
SIGMOD
2010
ACM
15 years 6 months ago
2010
ACM
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...