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IJCNN
2006
IEEE
15 years 8 months ago
Nonlinear principal component analysis of noisy data
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
William W. Hsieh
ICDAR
2011
IEEE
14 years 1 months ago
Script-Free Text Line Segmentation Using Interline Space Model for Printed Document Images
—This paper proposes a model-based text line segmentation algorithm for machine-printed document images. The model is based on geometric configuration which uses the interline sp...
Minwoo Kim, Il-Seok Oh
BMCBI
2010
142views more  BMCBI 2010»
15 years 2 months ago
Discover Protein Complexes in Protein-Protein Interaction Networks Using Parametric Local Modularity
Background: Recent advances in proteomic technologies have enabled us to create detailed protein-protein interaction maps in multiple species and in both normal and diseased cells...
Jongkwang Kim, Kai Tan
SEFM
2005
IEEE
15 years 7 months ago
Formal Analysis of Human-computer Interaction using Model-checking
Experiments with simulators allow psychologists to better understand the causes of human errors and build models of cognitive processes to be used in Human Reliability Assessment ...
Antonio Cerone, Peter A. Lindsay, Simon Connelly
TSP
2010
14 years 8 months ago
A multi-resolution hidden Markov model using class-specific features
We address the problem in signal classification applications, such as automatic speech recognition (ASR) systems that employ the hidden Markov model (HMM), that it is necessary to...
Paul M. Baggenstoss