100 search results - page 4 / 20 » A comprehensive model for arbitrary result extraction |
113
Voted
GECCO
2010
Springer
15 years 22 days ago
2010
Springer
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
CVPR
2007
IEEE
15 years 6 months ago
2007
IEEE
We present the Conformal Embedding Analysis (CEA) for feature extraction and dimensionality reduction. Incorporating both conformal mapping and discriminating analysis, CEA projec...
ITC
1998
IEEE
15 years 3 months ago
1998
IEEE
Previously-proposed strategies for VLSI fault diagnosis have su ered from a variety of self-imposed limitations. Some techniques are limited to a speci c fault model, and many wil...
107
Voted
ICML
2000
IEEE
16 years 13 days 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...
111
Voted
CAIP
2009
Springer
15 years 6 months ago
2009
Springer
This paper describes a comprehensive approach to extract a common feature set from the image sequences. We use simple features which are easily extracted from a 3D wireframe model ...