3707 search results - page 208 / 742 » A Simple Technique for Self-Calibration |
182
click to vote
CORR
2007
Springer
15 years 6 months ago
2007
Springer
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
189
click to vote
JMLR
2008
15 years 6 months ago
2008
A method is introduced to learn and represent similarity with linear operators in kernel induced Hilbert spaces. Transferring error bounds for vector valued large-margin classifie...
191
click to vote
JACM
2006
15 years 6 months ago
2006
We revisit the problem of conveying classical messages by transmitting quantum states, and derive new, optimal bounds on the number of quantum bits required for this task. Much of...
169
click to vote
ML
2006
ACM
15 years 6 months ago
2006
ACM
Abstract Identifier attributes--very high-dimensional categorical attributes such as particular product ids or people's names--rarely are incorporated in statistical modeling....
198
click to vote
IS
2007
15 years 6 months ago
2007
level of abstraction which is not only ideally suited for processing data on secondary storage but which also readily absorbs important issues in computational parallelism and in d...