311 search results - page 24 / 63 » Learning first-order probabilistic models with combining rul... |
ICPR
2002
IEEE
16 years 25 days ago
2002
IEEE
This paper describes a real-time computer vision system for tracking people in monocular video sequences. The system tracks people as they move through the camera's field of ...
100
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PAMI
2006
14 years 11 months ago
2006
Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
87
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KDD
2003
ACM
16 years 4 days ago
2003
ACM
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...
100
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ML
2006
ACM
14 years 11 months ago
2006
ACM
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
NAACL
2007
15 years 1 months ago
2007
We propose a high-performance cascaded hybrid model for Chinese NER. Firstly, we use Boosting, a standard and theoretically wellfounded machine learning method to combine a set of...