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» Markov constraints: steerable generation of Markov sequences
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IEEEVAST
2010
14 years 8 months ago
A visual analytics approach to model learning
The process of learning models from raw data typically requires a substantial amount of user input during the model initialization phase. We present an assistive visualization sys...
Supriya Garg, I. V. Ramakrishnan, Klaus Mueller
ICIP
2005
IEEE
16 years 3 months ago
Shape space sampling distributions and their impact on visual tracking
Object motions can be represented as a sequence of shape deformations and translations which can be interpretated as a sequence of points in N-dimensional shape space. These space...
Amit Kale, Christopher O. Jaynes
140
Voted
AI
2010
Springer
15 years 2 months ago
Soft arc consistency revisited
The Valued Constraint Satisfaction Problem (VCSP) is a generic optimization problem defined by a network of local cost functions defined over discrete variables. It has applicatio...
Martin C. Cooper, Simon de Givry, M. Sanchez, Thom...
140
Voted
CVPR
2004
IEEE
16 years 3 months ago
An Algorithm for Multiple Object Trajectory Tracking
Most tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework called Hidden Markov Model, where the distribution of the object state a...
Mei Han, Wei Xu, Hai Tao, Yihong Gong
BMCBI
2004
111views more  BMCBI 2004»
15 years 1 months ago
The Hotdog fold: wrapping up a superfamily of thioesterases and dehydratases
Background: The Hotdog fold was initially identified in the structure of Escherichia coli FabA and subsequently in 4-hydroxybenzoyl-CoA thioesterase from Pseudomonas sp. strain CB...
Shane C. Dillon, Alex Bateman