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PICS
2003
13 years 8 months ago
Selection of Training Sets for the Characterisation of Multispectral Imaging Systems
To establish a correlation between the system output and the corresponding reflectance, the system characterisation functionDeriving the actual multispectral data from the output o...
Paolo Pellegri, Gianluca Novati, Raimondo Schettin...
PR
2006
111views more  PR 2006»
13 years 7 months ago
The Bhattacharyya space for feature selection and its application to texture segmentation
A feature selection methodology based on a novel Bhattacharyya space is presented and illustrated with a texture segmentation problem. The Bhattacharyya space is constructed from ...
Constantino Carlos Reyes-Aldasoro, Abhir Bhalerao
JDCTA
2010
161views more  JDCTA 2010»
13 years 2 months ago
Selection of Wavelet Decomposition Level in Multi-Scale Sensor Data Fusion of MEMS Gyroscope
Because the characteristic of wavelet transform is multi-resolution, their unique advantage of the data model is multi-scale analysis. Then, it's widely used the Wavelet-base...
Ren Ya-fei, Ke Xi-zheng
CVPR
2003
IEEE
14 years 9 months ago
Simultaneous Feature Selection and Classifier Training via Linear Programming: A Case Study for Face Expression Recognition
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
Guodong Guo, Charles R. Dyer
ACL
2010
13 years 5 months ago
Intelligent Selection of Language Model Training Data
We address the problem of selecting nondomain-specific language model training data to build auxiliary language models for use in tasks such as machine translation. Our approach i...
Robert C. Moore, William Lewis