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PAMI
2006
178views more  PAMI 2006»
15 years 7 months ago
Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
Jakob J. Verbeek
TCBB
2008
122views more  TCBB 2008»
15 years 7 months ago
Mixed Integer Linear Programming for Maximum-Parsimony Phylogeny Inference
Reconstruction of phylogenetic trees is a fundamental problem in computational biology. While excellent heuristic methods are available for many variants of this problem, new adva...
Srinath Sridhar, Fumei Lam, Guy E. Blelloch, R. Ra...
INTEGRATION
2007
90views more  INTEGRATION 2007»
15 years 7 months ago
Partitioning-based decoupling capacitor budgeting via sequence of linear programming
In this paper, we propose an efficient algorithm to reduce the voltage noises for on-chip power/ground (P/G) networks of VLSI. The new method is based on the sequence of linear p...
Jeffrey Fan, Sheldon X.-D. Tan, Yici Cai, Xianlong...
TNN
2008
105views more  TNN 2008»
15 years 7 months ago
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
Shuiwang Ji, Jieping Ye
JSCIC
2007
89views more  JSCIC 2007»
15 years 7 months ago
Adjoint Recovery of Superconvergent Linear Functionals from Galerkin Approximations. The One-dimensional Case
In this paper, we extend the adjoint error correction of Pierce and Giles [SIAM Review, 42 (2000), pp. 247-264] for obtaining superconvergent approximations of functionals to Gale...
Bernardo Cockburn, Ryuhei Ichikawa