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» A Computational Journey into Nonlinearity
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JAIR
2008
113views more  JAIR 2008»
14 years 11 months ago
Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems
In this article we consider the issue of optimal control in collaborative multi-agent systems with stochastic dynamics. The agents have a joint task in which they have to reach a ...
Bart van den Broek, Wim Wiegerinck, Bert Kappen
107
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JMLR
2008
151views more  JMLR 2008»
14 years 11 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs
PAMI
2008
161views more  PAMI 2008»
14 years 11 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
PAMI
2008
221views more  PAMI 2008»
14 years 11 months ago
Plane-Based Optimization for 3D Object Reconstruction from Single Line Drawings
In previous optimization-based methods of 3D planar-faced object reconstruction from single 2D line drawings, the missing depths of the vertices of a line drawing (and other parame...
Jianzhuang Liu, Liangliang Cao, Zhenguo Li, Xiaoou...
PAMI
2008
121views more  PAMI 2008»
14 years 11 months ago
Theoretical Foundations of Spatially-Variant Mathematical Morphology Part II: Gray-Level Images
In this paper, we develop a spatially-variant (SV) mathematical morphology theory for gray-level signals and images in the euclidean space. The proposed theory preserves the geomet...
Nidhal Bouaynaya, Dan Schonfeld