153 search results - page 26 / 31 » IntelligenTester - Test Sequence Optimization Framework usin... |
158
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CVPR
2009
IEEE
16 years 8 months ago
2009
IEEE
Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...
132
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SGP
2007
15 years 3 months ago
2007
In this paper, we describe a system for the reconstruction of deforming geometry from a time sequence of unstructured, noisy point clouds, as produced by recent real-time range sc...
142
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RECOMB
2004
Springer
16 years 1 months ago
2004
Springer
Nuclear magnetic resonance (NMR) spectroscopy allows scientists to study protein structure, dynamics and interactions in solution. A necessary first step for such applications is ...
ECML
2006
Springer
15 years 5 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
204
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ICDE
2006
IEEE
16 years 2 months ago
2006
IEEE
We introduce a new domain-independent framework for formulating and efficiently evaluating similarity queries over historical data, where given a history as a sequence of timestam...