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CORR
2008
Springer
142views Education» more  CORR 2008»
13 years 8 months ago
A Gaussian Belief Propagation Solver for Large Scale Support Vector Machines
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
Danny Bickson, Elad Yom-Tov, Danny Dolev
CORR
2007
Springer
160views Education» more  CORR 2007»
13 years 8 months ago
On the Correlation of Geographic and Network Proximity at Internet Edges and its Implications for Mobile Unicast and Multicast R
Signicant eort has been invested recently to accelerate handover operations in a next generation mobile Internet. Corresponding works for developing ecient mobile multicast man...
Thomas C. Schmidt, Matthias Wählisch, Ying Zh...
ICMCS
2009
IEEE
140views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Resource-adaptive multimedia analysis on stream mining systems
Large-scale multimedia semantic concept detection requires realtime identification of a set of concepts in streaming video or large image datasets. The potentially high data volum...
Deepak S. Turaga, Rong Yan, Olivier Verscheure, Br...
TIP
2010
141views more  TIP 2010»
13 years 2 months ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina
ECCV
2002
Springer
14 years 10 months ago
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation
We present a variational integration of nonlinear shape statistics into a Mumford?Shah based segmentation process. The nonlinear statistics are derived from a set of training silho...
Christoph Schnörr, Daniel Cremers, Timo Kohlb...