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» Feature selection with neural networks
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ECAI
2010
Springer
13 years 6 months ago
Continuous Conditional Random Fields for Regression in Remote Sensing
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
Vladan Radosavljevic, Slobodan Vucetic, Zoran Obra...
ICASSP
2010
IEEE
13 years 6 months ago
Towards objectifying information hiding
In this paper, the concept of object-oriented embedding (OOE) is introduced into information hiding in general and particularly to steganography which is the science that involves...
Abbas Cheddad, Joan Condell, Kevin Curran, Paul Mc...
JMLR
2010
230views more  JMLR 2010»
13 years 3 months ago
Learning Dissimilarities for Categorical Symbols
In this paper we learn a dissimilarity measure for categorical data, for effective classification of the data points. Each categorical feature (with values taken from a finite set...
Jierui Xie, Boleslaw K. Szymanski, Mohammed J. Zak...
ICMCS
2005
IEEE
130views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Error Resilience Transcoding Using Prioritized Intra-Refresh for Video Multicast Over Wireless Networks
In this paper, we propose a two-pass intra-refresh transcoding scheme for inserting error-resilience features to a compressed video at the media gateway of a three-tier streaming ...
Chih-Ming Chen, Yuh-Ruey Lee, Chia-Wen Lin, Yung-C...
BMCBI
2006
112views more  BMCBI 2006»
13 years 8 months ago
Protein disorder prediction by condensed PSSM considering propensity for order or disorder
Background: More and more disordered regions have been discovered in protein sequences, and many of them are found to be functionally significant. Previous studies reveal that dis...
Chung-Tsai Su, Chien-Yu Chen, Yu-Yen Ou