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ACL
2012
13 years 8 months ago
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
Patrick Simianer, Stefan Riezler, Chris Dyer
ICCV
2007
IEEE
16 years 8 months ago
Efficient Mining of Frequent and Distinctive Feature Configurations
We present a novel approach to automatically find spatial configurations of local features occurring frequently on instances of a given object class, and rarely on the background....
Till Quack, Vittorio Ferrari, Bastian Leibe, Luc J...
ICPR
2000
IEEE
16 years 7 months ago
Segmentation of Bone Tumor in MR Perfusion Images Using Neural Networks and Multiscale Pharmacokinetic Features
The decrease in the volume of viable tumor is an indicator for the effect preoperative chemotherapy has on bone tumors. We develop an approach for segmenting dynamic perfusionMR-i...
Michael Egmont-Petersen, Alejandro F. Frangi, Wiro...
SMC
2007
IEEE
133views Control Systems» more  SMC 2007»
16 years 21 days ago
Text classification using multi-word features
—We carried out a series of experiments on text classification using multi-word features. An automated method was proposed to extract the multi-words from text data set and two d...
Wen Zhang, Taketoshi Yoshida, Xijin Tang
ICPR
2002
IEEE
15 years 11 months ago
Extracting Fractal Features for Analyzing Protein Structure
This paper is concerned with the development of a computational methodology based on fractal geometry for determining 3D structure of protein with imagery projection operations. I...
Yu Tao, Thomas R. Ioerger, James C. Sacchettini