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BMCBI
2007
178views more  BMCBI 2007»
13 years 7 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
VLDB
2002
ACM
154views Database» more  VLDB 2002»
13 years 7 months ago
I/O-Conscious Data Preparation for Large-Scale Web Search Engines
Given that commercial search engines cover billions of web pages, efficiently managing the corresponding volumes of disk-resident data needed to answer user queries quickly is a f...
Maxim Lifantsev, Tzi-cker Chiueh
CAV
2009
Springer
165views Hardware» more  CAV 2009»
14 years 8 months ago
Symbolic Counter Abstraction for Concurrent Software
Counter Abstraction for Concurrent Software G?erard Basler1 , Michele Mazzucchi1 , Thomas Wahl1,2 , Daniel Kroening1,2 1 Computer Systems Institute, ETH Zurich, Switzerland 2 Compu...
Daniel Kroening, Gérard Basler, Michele Maz...
ICCV
2009
IEEE
15 years 19 days ago
Template-Free Monocular Reconstruction of Deformable Surfaces
It has recently been shown that deformable 3D surfaces could be recovered from single video streams. However, ex- isting techniques either require a reference view in which the ...
Aydin Varol, Mathieu Salzmann, Engin Tola, Pascal ...
INFOCOM
2009
IEEE
14 years 2 months ago
Minimizing the Cost of Mine Selection Via Sensor Networks
— In this paper, we study sensor enabled landmine networks by formulating a minimum-cost mine selection problem. The problem arises in a target defence scenario, where the object...
Changlei Liu, Guohong Cao