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» Input Modeling Using Quantile Statistical Methods
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ICPR
2008
IEEE
14 years 5 months ago
Robust indoor activity recognition via boosting
In this paper, a novel statistical indoor activity recognition algorithm is introduced. While conditional random fields (CRFs) have prominent properties to this task, no optimal ...
Masamichi Shimosaka, Taketoshi Mori, Tomomasa Sato
CSB
2005
IEEE
151views Bioinformatics» more  CSB 2005»
14 years 4 months ago
Lossless Compression of DNA Microarray Images
Microarray experiments are characterized by a massive amount of data, usually in the form of an image. Based on the nature of microarray images, we consider the microarray in term...
Yong Zhang, Rahul Parthe, Donald A. Adjeroh
NLDB
2005
Springer
14 years 4 months ago
Named Entity Recognition for Web Content Filtering
Effective Web content filtering is a necessity in educational and workplace environments, but current approaches are far from perfect. We discuss a model for text-based intellige...
José María Gómez Hidalgo, Fra...
CORR
2010
Springer
182views Education» more  CORR 2010»
13 years 11 months ago
SPOT: An R Package For Automatic and Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization
The sequential parameter optimization (spot) package for R (R Development Core Team, 2008) is a toolbox for tuning and understanding simulation and optimization algorithms. Model-...
Thomas Bartz-Beielstein
BIOINFORMATICS
2006
96views more  BIOINFORMATICS 2006»
13 years 10 months ago
Joint estimation of calibration and expression for high-density oligonucleotide arrays
Motivation: The need for normalization in microarray experiments has been well documented in the literature. Currently, most analysis methods treat normalization and analysis as a...
Ann L. Oberg, Douglas W. Mahoney, Karla V. Ballman...