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ICML
2004
IEEE
16 years 7 months ago
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. There are...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
CSE
2009
IEEE
16 years 1 months ago
Analysis of Vehicular Roaming through Multiple WLAN APs in Container Terminal
—This paper reports on measurement results for the simultaneous use of multiple WLAN APs in a large area. We describe some problems of applying legacy IEEE 802.11 WLAN technologi...
Hyun-Sung Park, Seung-Ho Han, Jong-Deok Kim
IPPS
2009
IEEE
16 years 1 months ago
Combining multiple heuristics on discrete resources
—In this work we study the portfolio problem which is to find a good combination of multiple heuristics to solve given instances on parallel resources in minimum time. The resou...
Marin Bougeret, Pierre-François Dutot, Alfr...
SLSFS
2005
Springer
16 years 9 days ago
Incorporating Constraints and Prior Knowledge into Factorization Algorithms - An Application to 3D Recovery
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
Amit Gruber, Yair Weiss
INFOCOM
2003
IEEE
16 years 3 days ago
The Impact of Correlated Link Weights on QoS Routing
Abstract— Finding a path in a network based on multiple constraints (the MCP problem) is often referred to as QoS routing. QoS routing with constraints on multiple additive metri...
Fernando A. Kuipers, Piet Van Mieghem