13026 search results - page 85 / 2606 » Probabilistic Relational Models |
258
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DICTA
2008
15 years 9 months ago
2008
This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
223
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IJCV
2007
15 years 7 months ago
2007
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
210
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ICML
2007
IEEE
16 years 8 months ago
2007
IEEE
Shannon's Noisy-Channel model, which describes how a corrupted message might be reconstructed, has been the corner stone for much work in statistical language and speech proc...
229
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ICML
2000
IEEE
16 years 8 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
286
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DSN
2008
IEEE
16 years 1 months ago
2008
IEEE
Embedded systems for closed-loop applications often behave as discrete-time semi-Markov processes (DTSMPs). Performability measures most meaningful to iterative embedded systems, ...