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ICONIP
2007
15 years 8 months ago
Principal Component Analysis for Sparse High-Dimensional Data
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
Tapani Raiko, Alexander Ilin, Juha Karhunen
ICASSP
2010
IEEE
15 years 7 months ago
Stochastic cross-layer resource allocation for wireless networks using orthogonal access: Optimality and delay analysis
Efficient design of wireless networks requires implementation of cross-layer algorithms that exploit channel state information. Capitalizing on convex optimization and stochastic...
Antonio G. Marqués, Georgios B. Giannakis, ...
SIGECOM
2008
ACM
152views ECommerce» more  SIGECOM 2008»
15 years 7 months ago
On characterizations of truthful mechanisms for combinatorial auctions and scheduling
We characterize truthful mechanisms in two multi-parameter domains. The first characterization shows that every mechanism for combinatorial auctions with two subadditive bidders t...
Shahar Dobzinski, Mukund Sundararajan
AMC
2011
14 years 11 months ago
Ruin theory with excess of loss reinsurance and reinstatements
The present paper studies the probability of ruin of an insurer, if excess of loss reinsurance with reinstatements is applied. In the setting of the classical CramerLundberg risk ...
Hansjörg Albrecher, Sandra Haas
GIS
2007
ACM
16 years 8 months ago
Dynamics-aware similarity of moving objects trajectories
This work addresses the problem of obtaining the degree of similarity between trajectories of moving objects. Typically, a Moving Objects Database (MOD) contains sequences of (loc...
Goce Trajcevski, Hui Ding, Peter Scheuermann, Robe...