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ICML
2009
IEEE
14 years 8 months ago
A least squares formulation for a class of generalized eigenvalue problems in machine learning
Many machine learning algorithms can be formulated as a generalized eigenvalue problem. One major limitation of such formulation is that the generalized eigenvalue problem is comp...
Liang Sun, Shuiwang Ji, Jieping Ye
SIAMSC
2011
142views more  SIAMSC 2011»
13 years 2 months ago
Efficiency Based Adaptive Local Refinement for First-Order System Least-Squares Formulations
Abstract. In this paper, we propose new adaptive local refinement (ALR) strategies for firstorder system least-squares (FOSLS) finite element in conjunction with algebraic multi...
J. H. Adler, Thomas A. Manteuffel, Stephen F. McCo...
ECCV
2006
Springer
14 years 9 months ago
An Integral Solution to Surface Evolution PDEs Via Geo-cuts
We introduce a new approach to modelling gradient flows of contours and surfaces. While standard variational methods (e.g. level sets) compute local interface motion in a different...
Yuri Boykov, Vladimir Kolmogorov, Daniel Cremers, ...
SIGECOM
2009
ACM
112views ECommerce» more  SIGECOM 2009»
14 years 2 months ago
Network bargaining: algorithms and structural results
We consider models for bargaining in social networks, in which players are represented by vertices and edges represent bilateral opportunities for deals between pairs of players. ...
Tanmoy Chakraborty, Michael Kearns, Sanjeev Khanna
ICTAI
1997
IEEE
13 years 11 months ago
Prime Implicant Computation Using Satisfiability Algorithms
The computation of prime implicants has several and significant applications in different areas, including Automated Reasoning, Non-Monotonic Reasoning, Electronic Design Automati...
Vasco M. Manquinho, Paulo F. Flores, João P...