595 search results - page 103 / 119 » Predictive State Representations with State Space Partitioni... |
105
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SSPR
2010
Springer
14 years 9 months ago
2010
Springer
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...
BMCBI
2006
14 years 11 months ago
2006
Background: Structural analysis of cellular interaction networks contributes to a deeper understanding of network-wide interdependencies, causal relationships, and basic functiona...
144
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RECOMB
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. In this study we propose a novel model for the representation of biological networks and provide algorithms for learning model parameters from experimental data. Our appr...
107
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QEST
2010
IEEE
14 years 9 months ago
2010
IEEE
Adaptive techniques like voltage and frequency scaling, process variations and the randomness of input data contribute signi cantly to the statistical aspect of contemporary hardwa...
ICCV
2005
IEEE
16 years 1 months ago
2005
IEEE
This paper breaks with the common practice of using a joint state space representation and performing the joint data association in multi-object tracking. Instead, we present an i...