1012 search results - page 125 / 203 » A Learning Classifier Approach to Tomography |
91
Voted
BILDMED
2007
15 years 2 months ago
2007
Abstract. A major problem of segmentation of magnetic resonance images is that intensities are not standardized like in computed tomography. This article deals with the correction ...
127
Voted
Publication
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
102
Voted
ICMCS
2006
IEEE
15 years 6 months ago
2006
IEEE
This paper presents an interactive video event retrieval system based on improved adaboost learning. This system consists of three main steps. Firstly, a long video sequence is pa...
116
click to vote
ICRA
2010
IEEE
14 years 11 months ago
2010
IEEE
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...
112
Voted
JMLR
2010
14 years 7 months ago
2010
We consider a supervised learning setting in which the main cost of learning is the number of training labels and one can obtain a single label for a bag of examples, indicating o...