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CVBIA
2005
Springer
15 years 3 months ago
Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bi...
82
Voted
SEMWEB
2001
Springer
15 years 2 months ago
OntoMap - the Guide to the Upper-Level
Abstract. The upper-level ontologies are theories that capture the most common concepts, which are relevant for many of the tasks involving knowledge extraction, representation, an...
Atanas K. Kirakov, Marin Dimitrov
91
Voted
AAAI
1996
14 years 11 months ago
What Is Planning in the Presence of Sensing?
The Airport Example The Omelette Example Copyright c 1996 American Association for Artificial Intelligence. All rights reserved. Despite the existence of programs that are able to ...
Hector J. Levesque
CI
2005
106views more  CI 2005»
14 years 9 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
FLAIRS
2007
14 years 12 months ago
The Evolution and Evaluation of an Internet Search Tool for Information Analysts
We are working on a project aimed at building next generation analyst support tools that focus analysts’ attention on the most critical and novel information found within the da...
Elizabeth T. Whitaker, Robert L. Simpson Jr.