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NIPS
1996
13 years 10 months ago
Combining Neural Networks and Context-Driven Search for On-Line, Printed Handwriting Recognition in the Newton
While on-line handwriting recognition is an area of long-standing and ongoing research, the recent emergence of portable, pen-based computers has focused urgent attention on usabl...
Larry S. Yaeger, Brandyn J. Webb, Richard F. Lyon
CVPR
2005
IEEE
14 years 10 months ago
Damped Newton Algorithms for Matrix Factorization with Missing Data
The problem of low-rank matrix factorization in the presence of missing data has seen significant attention in recent computer vision research. The approach that dominates the lit...
A. M. Buchanan, Andrew W. Fitzgibbon
VECPAR
2004
Springer
14 years 2 months ago
Domain Decomposition Methods for PDE Constrained Optimization Problems
Abstract. Optimization problems constrained by nonlinear partial differential equations have been the focus of intense research in scientific computing lately. Current methods for...
Ernesto E. Prudencio, Richard H. Byrd, Xiao-Chuan ...
DATE
2007
IEEE
117views Hardware» more  DATE 2007»
14 years 3 months ago
Rapid and accurate latch characterization via direct Newton solution of setup/hold times
Characterizing setup/hold times of latches and registers, a crucial component for achieving timing closure of large digital designs, typically occupies months of computation in in...
Shweta Srivastava, Jaijeet S. Roychowdhury
ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
14 years 2 months ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti