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ICML
2010
IEEE
14 years 11 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
AUTOMATICA
2005
115views more  AUTOMATICA 2005»
14 years 9 months ago
Robust constrained predictive control using comparison model
This paper proposes a quadratic programming (QP) approach to robust model predictive control (MPC) for constrained linear systems having both model uncertainties and bounded distu...
Hiroaki Fukushima, Robert R. Bitmead
BICOB
2009
Springer
15 years 1 months ago
Constrained Fisher Scores Derived from Interaction Profile Hidden Markov Models Improve Protein to Protein Interaction Predictio
Protein-protein interaction plays critical roles in cellular functions. In this work, we propose a computational method to predict protein-protein interaction by using support vec...
Alvaro J. González, Li Liao
WSCG
2003
165views more  WSCG 2003»
14 years 11 months ago
A Shape Constrained Curve Approximation Method for Styling Surfaces Modeling
The problem of styling surfaces modeling is tackled. An approach based on section curves fairing is chosen. The concept of template curves is developed for approximating profiles ...
Yves Mineur
MVA
2002
177views Computer Vision» more  MVA 2002»
14 years 9 months ago
Global Motion Estimation Based on the Constrained Spatio-temporal Gradient Method in Model-Based Coding
For global motion estimation in model-based coding, this paper proposes a constrained spatio-temporal gradient method using contour information. To overcome the local minimum prob...
Young Wook Sohn, Doo-Hyun Kim, Dong-O Kim, Rae-Hon...