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ICPR
2002
IEEE
14 years 10 months ago
A Fast Leading Eigenvector Approximation for Segmentation and Grouping
We present a fast non-iterative method for approximating the leading eigenvector so as to render graph-spectral based grouping algorithms more efficient. The approximation is base...
Antonio Robles-Kelly, Sudeep Sarkar, Edwin R. Hanc...
WSC
2001
13 years 10 months ago
Global random optimization by simultaneous perturbation stochastic approximation
We examine the theoretical and numerical global convergence properties of a certain "gradient free" stochastic approximation algorithm called the "simultaneous pertu...
John L. Maryak, Daniel C. Chin
JMLR
2006
107views more  JMLR 2006»
13 years 9 months ago
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation
In many pattern recognition/classification problem the true class conditional model and class probabilities are approximated for reasons of reducing complexity and/or of statistic...
Magnus Ekdahl, Timo Koski
FOCS
2008
IEEE
14 years 3 months ago
A Geometric Approach to Lower Bounds for Approximate Near-Neighbor Search and Partial Match
This work investigates a geometric approach to proving cell probe lower bounds for data structure problems. We consider the approximate nearest neighbor search problem on the Bool...
Rina Panigrahy, Kunal Talwar, Udi Wieder
COCOON
2007
Springer
14 years 3 months ago
On the Complexity of Finding an Unknown Cut Via Vertex Queries
We investigate the problem of finding an unknown cut through querying vertices of a graph G. Our complexity measure is the number of submitted queries. To avoid some worst cases, ...
Peyman Afshani, Ehsan Chiniforooshan, Reza Dorrigi...