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» An Adaptive Steganographic Method Using Additive Noise
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ICCS
2009
Springer
16 years 1 months ago
A Scalable and Adaptable Solution Framework within Components of the Community Climate System Model
Abstract. A framework for a fully implicit solution method is implemented into (1) the High Order Methods Modeling Environment (HOMME), which is a spectral element dynamical core o...
Katherine J. Evans, Damian W. I. Rouson, Andrew G....
APIN
2004
116views more  APIN 2004»
15 years 6 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
IPSN
2004
Springer
15 years 12 months ago
Backcasting: adaptive sampling for sensor networks
Wireless sensor networks provide an attractive approach to spatially monitoring environments. Wireless technology makes these systems relatively flexible, but also places heavy d...
Rebecca Willett, Aline Martin, Robert Nowak
TSP
2008
101views more  TSP 2008»
15 years 6 months ago
Bayesian Compressive Sensing
The data of interest are assumed to be represented as N-dimensional real vectors, and these vectors are compressible in some linear basis B, implying that the signal can be recons...
Shihao Ji, Ya Xue, Lawrence Carin
APBC
2003
128views Bioinformatics» more  APBC 2003»
15 years 8 months ago
Machine Learning in DNA Microarray Analysis for Cancer Classification
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it e...
Sung-Bae Cho, Hong-Hee Won