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» Fast Normalized Cut with Linear Constraints
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CVPR
2000
IEEE
14 years 10 months ago
Fast Multiscale Image Segmentation
We introduce a fast, multiscale algorithm for image segmentation. Our algorithm uses modern numeric techniques to nd an approximate solution to normalized cut measures in time tha...
Eitan Sharon, Achi Brandt, Ronen Basri
PAMI
2007
202views more  PAMI 2007»
13 years 8 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
SIAMJO
2010
130views more  SIAMJO 2010»
13 years 3 months ago
A Randomized Cutting Plane Method with Probabilistic Geometric Convergence
Abstract. We propose a randomized method for general convex optimization problems; namely, the minimization of a linear function over a convex body. The idea is to generate N rando...
Fabrizio Dabbene, P. S. Shcherbakov, Boris T. Poly...
ICCAD
2002
IEEE
227views Hardware» more  ICCAD 2002»
14 years 5 months ago
Generic ILP versus specialized 0-1 ILP: an update
Optimized solvers for the Boolean Satisfiability (SAT) problem have many applications in areas such as hardware and software verification, FPGA routing, planning, etc. Further use...
Fadi A. Aloul, Arathi Ramani, Igor L. Markov, Kare...
DISOPT
2007
155views more  DISOPT 2007»
13 years 8 months ago
Linear-programming design and analysis of fast algorithms for Max 2-CSP
The class Max (r, 2)-CSP (or simply Max 2-CSP) consists of constraint satisfaction problems with at most two r-valued variables per clause. For instances with n variables and m bin...
Alexander D. Scott, Gregory B. Sorkin