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» Using feature models to automate model transformations
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BMCBI
2005
145views more  BMCBI 2005»
15 years 4 months ago
CAGER: classification analysis of gene expression regulation using multiple information sources
Background: Many classification approaches have been applied to analyzing transcriptional regulation of gene expressions. These methods build models that can explain a gene's...
Jianhua Ruan, Weixiong Zhang
121
Voted
ICAIL
1995
ACM
15 years 8 months ago
Automated Legislative Drafting: Generating Paraphrases of Legislation
In this paper, we describe which roles deep structures of law play in (automatic) drafting legislation. Deep structures contain a formal description of the intended normative effe...
Radboud Winkels, Nienke den Haan
ICPR
2010
IEEE
15 years 4 months ago
High-Level Feature Extraction Using SIFT GMMs and Audio Models
—We propose a statistical framework for high-level feature extraction that uses SIFT Gaussian mixture models (GMMs) and audio models. SIFT features were extracted from all the im...
Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, S...
BMCBI
2007
139views more  BMCBI 2007»
15 years 4 months ago
Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
Andrew S. Peek
CVPR
2003
IEEE
16 years 6 months ago
Face Alignment Using Statistical Models and Wavelet Features
Active Shape Model (ASM) is a powerful statistical tool for face alignment by shape. However, it can suffer from changes in illumination and facial expression changes, and local m...
Feng Jiao, Stan Z. Li, Heung-Yeung Shum, Dale Schu...