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» Complexity of Inference in Graphical Models
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CVPR
2009
IEEE
16 years 9 months ago
Locally Time-Invariant models of Human Activities using Trajectories on the Grassmanian
Human activity analysis is an important problem in computer vision with applications in surveillance and summarization and indexing of consumer content. Complex human activities...
Pavan Turaga, Rama Chellappa
114
Voted
NIPS
2007
15 years 3 months ago
Expectation Maximization and Posterior Constraints
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
João Graça, Kuzman Ganchev, Ben Task...
110
Voted
ICML
2003
IEEE
16 years 3 months ago
Learning on the Test Data: Leveraging Unseen Features
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
Benjamin Taskar, Ming Fai Wong, Daphne Koller
CG
2006
Springer
15 years 2 months ago
Realtime automatic selection of good molecular views
The investigation of molecular structures often requires the use of graphics software to display different representations of the molecule of interest. Unfortunately, the commonly...
Pere-Pau Vázquez, Miquel Feixas, Mateu Sber...
IROS
2008
IEEE
144views Robotics» more  IROS 2008»
15 years 9 months ago
Learning nonparametric policies by imitation
— A long cherished goal in artificial intelligence has been the ability to endow a robot with the capacity to learn and generalize skills from watching a human teacher. Such an ...
David B. Grimes, Rajesh P. N. Rao