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IJCAI
1993
14 years 11 months ago
The Statistical Learning of Accurate Heuristics
Heuristics used by search algorithms are usually composed of more primitive functions which we call "features". A method for combining features is presented which is bas...
Anna Bramanti-Gregor, Henry W. Davis
CVPR
2007
IEEE
15 years 11 months ago
Discriminant Additive Tangent Spaces for Object Recognition
Pattern variation is a major factor that affects the performance of recognition systems. In this paper, a novel manifold tangent modeling method called Discriminant Additive Tange...
Liang Xiong, Jianguo Li, Changshui Zhang
GW
2005
Springer
103views Biometrics» more  GW 2005»
15 years 3 months ago
Re-sampling for Chinese Sign Language Recognition
In Sign Language recognition, one of the problems is to collect enough data. Data collection for both training and testing is a laborious but necessary step. Almost all of the stat...
Chunli Wang, Xilin Chen, Wen Gao
QSIC
2006
IEEE
15 years 3 months ago
Software Project Level Estimation Model Framework based on Bayesian Belief Networks
Software estimation models should support managerial decision making in software projects. We experience that most of current models do not achieve this goal to the extend manager...
Hao Wang, Fei Peng, Chao Zhang, Andrej Pietschker
NIPS
2001
14 years 11 months ago
Sequential Noise Compensation by Sequential Monte Carlo Method
We present a sequential Monte Carlo method applied to additive noise compensation for robust speech recognition in time-varying noise. The method generates a set of samples accord...
K. Yao, S. Nakamura