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» On Efficiency of Learning: A Framework and Justification
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JMLR
2010
165views more  JMLR 2010»
13 years 2 months ago
Learning with Blocks: Composite Likelihood and Contrastive Divergence
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
ICIP
2006
IEEE
14 years 9 months ago
A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape
In this paper we propose a new framework for modeling 2D shapes. A shape is first described by a sequence of local features (e.g., curvature) of the shape boundary. The resulting ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
HICSS
2007
IEEE
99views Biometrics» more  HICSS 2007»
14 years 2 months ago
Examining the Impacts of Institutional Framework on E-Government Infrastructures: A Study of Hong Kong Experiences
Since the Hong Kong SAR Government promulgated the first Digital 21 IT Strategy in November 1998, multiple major initiatives had been launched to establish the underlying infrastr...
Chun Yu, Paul Jen-Hwa Hu
AAAI
1996
13 years 9 months ago
A Connectionist Framework for Reasoning: Reasoning with Examples
We present a connectionist architecture that supports almost instantaneous deductive and abductive reasoning. The deduction algorithm responds in few steps for single rule queries...
Dan Roth
CVPR
2000
IEEE
14 years 9 months ago
Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks
Design and development of novel human-computer interfaces poses a challenging problem: actions and intentions of users have to be inferred from sequences of noisy and ambiguous mu...
Vladimir Pavlovic, James M. Rehg, Ashutosh Garg, T...