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» Experimental Comparison of Feature Subset Selection Methods
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ICCV
2007
IEEE
16 years 8 months ago
Linear Predictors for Fast Simultaneous Modeling and Tracking
An approach for fast tracking of arbitrary image features with no prior model and no offline learning stage is presented. Fast tracking is achieved using banks of linear displacem...
Liam Ellis, Nicholas Dowson, Jiri Matas, Richard B...
CIKM
2008
Springer
15 years 8 months ago
Representative entry selection for profiling blogs
Many applications on blog search and mining often meet the challenge of handling huge volume of blog data, in which one single blog could contain hundreds or even thousands of ent...
Jinfeng Zhuang, Steven C. H. Hoi, Aixin Sun, Rong ...
IJON
2000
71views more  IJON 2000»
15 years 6 months ago
Variable selection using neural-network models
In this paper we propose an approach to variable selection that uses a neural-network model as the tool to determine which variables are to be discarded. The method performs a bac...
Giovanna Castellano, Anna Maria Fanelli
INTEGRATION
2007
69views more  INTEGRATION 2007»
15 years 6 months ago
A fast algorithm for rectilinear block packing based on selected sequence-pair
In this paper, we present a method of rectilinear block packing using selected sequence-pair (SSP), a rectangle packing representation. We also propose a fast algorithm to obtain ...
Kunihiro Fujiyoshi, Chikaaki Kodama, Akira Ikeda
SIGIR
2008
ACM
15 years 6 months ago
A study of learning a merge model for multilingual information retrieval
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
Ming-Feng Tsai, Yu-Ting Wang, Hsin-Hsi Chen