516 search results - page 67 / 104 » A Multiresolution Threshold Selection Method Based on Traini... |
EUROCAST
2007
Springer
14 years 1 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...
IDEAL
2004
Springer
14 years 28 days 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...
CVPR
2006
IEEE
14 years 9 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...
AIRS
2008
Springer
14 years 1 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...
ICRA
2002
IEEE
14 years 15 days 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...