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» Application of Level Set Methods in Computer Vision
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ICML
2010
IEEE
13 years 11 months ago
Gaussian Process Change Point Models
We combine Bayesian online change point detection with Gaussian processes to create a nonparametric time series model which can handle change points. The model can be used to loca...
Yunus Saatci, Ryan Turner, Carl Edward Rasmussen
TEC
2008
98views more  TEC 2008»
13 years 10 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...
TVLSI
1998
80views more  TVLSI 1998»
13 years 9 months ago
Power optimization of core-based systems by address bus encoding
— This paper presents a solution to the problem of reducing the power dissipated by a digital system containing an intellectual proprietary core processor which repeatedly execut...
Luca Benini, Giovanni De Micheli, Enrico Macii, Ma...
ATMOS
2010
163views Optimization» more  ATMOS 2010»
13 years 9 months ago
Railway Track Allocation by Rapid Branching
The track allocation problem, also known as train routing problem or train timetabling problem, is to find a conflict-free set of train routes of maximum value in a railway netw...
Ralf Borndörfer, Thomas Schlechte, Steffen We...
ICML
2010
IEEE
13 years 8 months ago
Implicit Online Learning
Online learning algorithms have recently risen to prominence due to their strong theoretical guarantees and an increasing number of practical applications for large-scale data ana...
Brian Kulis, Peter L. Bartlett
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