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BMCBI
2005
89views more  BMCBI 2005»
13 years 7 months ago
An empirical analysis of training protocols for probabilistic gene finders
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
William H. Majoros, Steven Salzberg
FGR
2008
IEEE
153views Biometrics» more  FGR 2008»
14 years 2 months ago
Facial image analysis using local feature adaptation prior to learning
Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...
Rogerio Feris, Ying-li Tian, Yun Zhai, Arun Hampap...
WWW
2002
ACM
14 years 8 months ago
Using web structure for classifying and describing web pages
The structure of the web is increasingly being used to improve organization, search, and analysis of information on the web. For example, Google uses the text in citing documents ...
Eric J. Glover, Kostas Tsioutsiouliklis, Steve Law...
BIOADIT
2004
Springer
14 years 1 months ago
Explaining Low-Level Brightness-Contrast Illusions Using Disinhibition
Conventional Difference of Gaussian (DOG) filter is usually used to model the early stage of visual processing. However, convolution operation used with DOG does not explicitly a...
Yingwei Yu, Takashi Yamauchi, Yoonsuck Choe
HCI
2007
13 years 9 months ago
An Epileptic Seizure Prediction Algorithm from Scalp EEG Based on Morphological Filter and Kolmogorov Complexity
Epilepsy is the most common neurological disorder in the world, second only to stroke. There are nearly 15 million patients suffer from refractory epilepsy, with no available ther...
Guanghua Xu, Jing Wang, Qing Zhang, Junming Zhu