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ICML
2001
IEEE
14 years 11 months ago
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...
UMUAI
2010
136views more  UMUAI 2010»
13 years 9 months ago
Towards affective camera control in games
Information about interactive virtual environments, such as games, is perceived by users through a virtual camera. While most interactive applications let users control the camera,...
Georgios N. Yannakakis, Héctor Perez Mart&i...
BMCBI
2005
87views more  BMCBI 2005»
13 years 11 months ago
Efficient decoding algorithms for generalized hidden Markov model gene finders
Background: The Generalized Hidden Markov Model (GHMM) has proven a useful framework for the task of computational gene prediction in eukaryotic genomes, due to its flexibility an...
William H. Majoros, Mihaela Pertea, Arthur L. Delc...
IROS
2008
IEEE
117views Robotics» more  IROS 2008»
14 years 5 months ago
Towards a cognitive robot that uses internal rehearsal to learn affordance relations
—This paper introduces a new approach to develop robots that can learn general affordance relations from their experiences. Our approach is a part of larger efforts to develop a ...
Erdem Erdemir, Carl B. Frankel, Kazuhiko Kawamura,...
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
13 years 9 months ago
Toward automated tissue retraction in robot-assisted surgery
—Robotic surgical assistants are enhancing physician performance, enabling physicians to perform more delicate and precise minimally invasive surgery. However, these devices are ...
Sachin Patil, Ron Alterovitz