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AAAI
2004
13 years 9 months ago
Learning and Inferring Transportation Routines
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
Lin Liao, Dieter Fox, Henry A. Kautz
KDD
2002
ACM
130views Data Mining» more  KDD 2002»
14 years 8 months ago
Learning domain-independent string transformation weights for high accuracy object identification
The task of object identification occurs when integrating information from multiple websites. The same data objects can exist in inconsistent text formats across sites, making it ...
Sheila Tejada, Craig A. Knoblock, Steven Minton
BMCBI
2005
124views more  BMCBI 2005»
13 years 7 months ago
Tools enabling the elucidation of molecular pathways active in human disease: Application to Hepatitis C virus infection
Background: The extraction of biological knowledge from genome-scale data sets requires its analysis in the context of additional biological information. The importance of integra...
David J. Reiss, Iliana Avila-Campillo, Vesteinn Th...
HAPTICS
2010
IEEE
13 years 7 months ago
Online Intention Recognition in Computer-Assisted Teleoperation Systems
Limitations of state-of-the-art teleoperation systems can be compensated by using shared-control teleoperation architectures that provide haptic assistance to the human operator. T...
Nikolay Stefanov, Angelika Peer, Martin Buss
CVPR
2009
IEEE
15 years 2 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...