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BMCBI
2010
117views more  BMCBI 2010»
13 years 7 months ago
New decoding algorithms for Hidden Markov Models using distance measures on labellings
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
Daniel G. Brown 0001, Jakub Truszkowski
ICCV
2001
IEEE
14 years 9 months ago
3D Object Tracking Using Shape-Encoded Particle Propagation
We present a comprehensive treatment of 3D object tracking by posing it as a nonlinear state estimation problem. The measurements are derived using the outputs of shape-encoded fi...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
CORR
2004
Springer
133views Education» more  CORR 2004»
13 years 7 months ago
Information theory, multivariate dependence, and genetic network inference
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
Ilya Nemenman
CVPR
2011
IEEE
13 years 3 months ago
High Level Describable Attributes for Predicting Aesthetics and Interestingness
With the rise in popularity of digital cameras, the amount of visual data available on the web is growing exponentially. Some of these pictures are extremely beautiful and aesthet...
Sagnik Dhar, Vicente Ordonez, Tamara Berg
ML
2010
ACM
151views Machine Learning» more  ML 2010»
13 years 6 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales