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CVPR
2010
IEEE
13 years 7 months ago
Learning kernels for variants of normalized cuts: Convex relaxations and applications
We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should ...
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chr...
UAI
2004
13 years 8 months ago
Variational Chernoff Bounds for Graphical Models
Recent research has made significant progress on the problem of bounding log partition functions for exponential family graphical models. Such bounds have associated dual paramete...
Pradeep D. Ravikumar, John D. Lafferty
FORMATS
2007
Springer
14 years 1 months ago
Hypervolume Approximation in Timed Automata Model Checking
Dierence Bound Matrices (DBMs) are the most commonly used data structure for model checking timed automata. Since long they are being used in successful tools like Kronos or UPPAA...
Víctor A. Braberman, Jorge Lucángeli...
APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
14 years 27 days ago
Sampling Bounds for Stochastic Optimization
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
Moses Charikar, Chandra Chekuri, Martin Pál
EOR
2006
125views more  EOR 2006»
13 years 7 months ago
A genetic algorithm for robotic assembly line balancing
Flexibility and automation in assembly lines can be achieved by the use of robots. The robotic assembly line balancing (RALB) problem is defined for robotic assembly line, where d...
Gregory Levitin, Jacob Rubinovitz, Boris Shnits