6113 search results - page 123 / 1223 » Learning Features for Tracking |
115
click to vote
EMNLP
2008
15 years 3 months ago
2008
We present a novel learning framework for pipeline models aimed at improving the communication between consecutive stages in a pipeline. Our method exploits the confidence scores ...
116
click to vote
PAMI
2008
15 years 2 months ago
2008
Abstract-- Extending traditional models for discriminative labeling of structured data to include higher-order structure in the labels results in an undesirable exponential increas...
129
click to vote
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We consider the task of reinforcement learning with linear value function approximation. Temporal difference algorithms, and in particular the Least-Squares Temporal Difference (L...
211
click to vote
ISNN
2011
Springer
14 years 5 months ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
147
click to vote
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...