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207
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IJCNN
2007
IEEE
16 years 11 days ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
159
Voted
SIGCOMM
2006
ACM
16 years 20 hour ago
Minimizing churn in distributed systems
A pervasive requirement of distributed systems is to deal with churn — change in the set of participating nodes due to joins, graceful leaves, and failures. A high churn rate ca...
Brighten Godfrey, Scott Shenker, Ion Stoica
BMCBI
2005
105views more  BMCBI 2005»
15 years 6 months ago
SNPHunter: a bioinformatic software for single nucleotide polymorphism data acquisition and management
Background: Single nucleotide polymorphisms (SNPs) provide an important tool in pinpointing susceptibility genes for complex diseases and in unveiling human molecular evolution. S...
Lin Wang, Simin Liu, Tianhua Niu, Xin Xu
213
Voted
CVPR
2009
IEEE
17 years 1 months ago
Recognising Action as Clouds of Space-Time Interest Points
Much of recent action recognition research is based on space-time interest points extracted from video using a Bag of Words (BOW) representation. It mainly relies on the discrimi...
Matteo Bregonzio (Queen Mary, University of London...
CVPR
2009
IEEE
17 years 1 months ago
Learning query-dependent prefilters for scalable image retrieval
We describe an algorithm for similar-image search which is designed to be efficient for extremely large collections of images. For each query, a small response set is selected by...
Lorenzo Torresani (Dartmouth College), Martin Szum...