516 search results - page 67 / 104 » A Multiresolution Threshold Selection Method Based on Traini... |
123
click to vote
EUROCAST
2007
Springer
15 years 8 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
118
click to vote
IDEAL
2004
Springer
15 years 7 months ago
2004
Springer
A novel technique is presented to construct sparse regression models based on the orthogonal least square method with boosting. This technique tunes the mean vector and diagonal c...
95
Voted
CVPR
2006
IEEE
16 years 4 months ago
2006
IEEE
Image segmentation is a fundamental step in many computer vision applications. Generally, the choice of a segmentation algorithm, or parameterization of a given algorithm, is sele...
129
Voted
AIRS
2008
Springer
15 years 8 months ago
2008
Springer
Topic tracking is an important task of Topic Detection and Tracking (TDT). Its purpose is to detect stories, from a stream of news, related to known topics. Each topic is “knownâ...
121
Voted
ICRA
2002
IEEE
15 years 7 months ago
2002
IEEE
This paper presents an approach to learning an optimal behavioral parameterization in the framework of a Case-Based Reasoning methodology for autonomous navigation tasks. It is ba...