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» The Kernel Least-Mean-Square Algorithm
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112
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IJCAI
2003
15 years 5 months ago
Distributed Clustering Based on Sampling Local Density Estimates
Huge amounts of data are stored in autonomous, geographically distributed sources. The discovery of previously unknown, implicit and valuable knowledge is a key aspect of the expl...
Matthias Klusch, Stefano Lodi, Gianluca Moro
120
Voted
NIPS
1998
15 years 5 months ago
Using Analytic QP and Sparseness to Speed Training of Support Vector Machines
Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) problem. This paper proposes an algorithm for training SVMs: Sequential Mi...
John C. Platt
106
Voted
RTDB
1996
82views more  RTDB 1996»
15 years 5 months ago
Lock-Free Transactions for Real-Time Systems
We show that previous algorithmic and scheduling work concerning the use of lock-free objects in hard real-timesystems can be extended to support real-time transactions on memory-...
James H. Anderson, Srikanth Ramamurthy, Mark Moir,...
122
Voted
ICML
2010
IEEE
15 years 4 months ago
On Sparse Nonparametric Conditional Covariance Selection
We develop a penalized kernel smoothing method for the problem of selecting nonzero elements of the conditional precision matrix, known as conditional covariance selection. This p...
Mladen Kolar, Ankur P. Parikh, Eric P. Xing
132
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ICASSP
2010
IEEE
15 years 3 months ago
3D shape estimation from silhouettes using mean-shift
In this article, a novel method to accurately estimate 3D surface of objects of interest is proposed. Each ray projected from 2D image plane to 3D space is modelled with the Gauss...
Donghoon Kim, Jonathan Ruttle, Rozenn Dahyot