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» Quantifying group problem solving with stochastic analysis
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ICMLA
2007
13 years 9 months ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio
CJ
2010
131views more  CJ 2010»
13 years 5 months ago
Turning Back Time - What Impact on Performance?
Consistent with the divide-and-conquer approach to problem solving, a recursive result is presented in the domain of stochastic modelling that derives product-form solutions for t...
Peter G. Harrison
ASPDAC
2000
ACM
154views Hardware» more  ASPDAC 2000»
14 years 2 days ago
Dynamic weighting Monte Carlo for constrained floorplan designs in mixed signal application
Simulated annealing has been one of the most popular stochastic optimization methods used in the VLSI CAD field in the past two decades for handling NP-hard optimization problems...
Jason Cong, Tianming Kong, Faming Liang, Jun S. Li...
SOCIALCOM
2010
13 years 5 months ago
The Dynamics of Two Cognitive Heuristics for Coordination on Networks
Abstract--This paper is about how groups solve global coordination problems such as the distributed graph coloring problem. We focused on scenarios in which agents are not able to ...
Iyad Rahwan, Fatemeh Jahedpari, Sherief Abdallah
IJCAI
1989
13 years 8 months ago
An Approximate Solver for Symbolic Equations
This paper describes a program, called NEWTON, that finds approximate symbolic solutions to parameterized equations in one variable. N E W T O N derives an initial approximation b...
Elisha Sacks