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» Regression analysis for massive datasets
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ICDE
2010
IEEE
290views Database» more  ICDE 2010»
14 years 1 days ago
The Model-Summary Problem and a Solution for Trees
Modern science is collecting massive amounts of data from sensors, instruments, and through computer simulation. It is widely believed that analysis of this data will hold the key ...
Biswanath Panda, Mirek Riedewald, Daniel Fink
BIB
2010
103views more  BIB 2010»
13 years 5 months ago
Challenges of sequencing human genomes
Massively parallel sequencing technologies continue to alter the study of human genetics. As the cost of sequencing declines, next-generation sequencing (NGS) instruments and data...
Daniel C. Koboldt, Li Ding, Elaine R. Mardis, Rich...
ICASSP
2011
IEEE
12 years 11 months ago
Rapid feature space MLLR speaker adaptation with bilinear models
In this paper, we propose a novel method for rapid feature space Maximum Likelihood Linear Regression (FMLLR) speaker adaptation based on bilinear models. When the amount of adapt...
Shilei Zhang, Peder A. Olsen, Yong Qin
IWANN
2009
Springer
14 years 2 months ago
Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints
This work proposes the use of maximal variation analysis for feature selection within least squares support vector machines for survival analysis. Instead of selecting a subset of ...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
ICDAR
2011
IEEE
12 years 7 months ago
A New Text-Line Alignment Approach Based on Piece-Wise Painting Algorithm for Handwritten Documents
—Because of writing styles of different individuals, some of the text-lines may be curved in shape. For recognition of such text-lines, their proper alignment is necessary. In th...
Alireza Alaei, P. Nagabhushan, Umapada Pal