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SSPR
2010
Springer
15 years 21 days ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
157
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SI3D
2003
ACM
15 years 7 months ago
An automatic modeling of human bodies from sizing parameters
In this paper, we present an automatic, runtime modeler for modeling realistic, animatable human bodies. A user can generate a new model or modify an existing one simply by inputt...
Hyewon Seo, Nadia Magnenat-Thalmann
AAAI
2008
15 years 4 months ago
Interaction Structure and Dimensionality Reduction in Decentralized MDPs
Decentralized Markov Decision Processes are a powerful general model of decentralized, cooperative multi-agent problem solving. The high complexity of the general problem leads to...
Martin Allen, Marek Petrik, Shlomo Zilberstein
BICOB
2009
Springer
15 years 9 months ago
A Bayesian Approach to High-Throughput Biological Model Generation
Abstract. With the availability of hundreds and soon-to-be thousands of complete genomes, the construction of genome-scale metabolic models for these organisms has attracted much a...
Xinghua Shi, Rick L. Stevens
TOG
2008
291views more  TOG 2008»
15 years 2 months ago
Interactive 3D architectural modeling from unordered photo collections
We present an interactive system for generating photorealistic, textured, piecewise-planar 3D models of architectural structures and urban scenes from unordered sets of photograph...
Sudipta N. Sinha, Drew Steedly, Richard Szeliski, ...