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ICML
2008
IEEE
16 years 7 months ago
Sparse multiscale gaussian process regression
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
Bernhard Schölkopf, Christian Walder, Kwang I...
ICPR
2010
IEEE
16 years 1 months ago
Dimension-Decoupled Gaussian Mixture Model for Short Utterance Speaker Recognition
The Gaussian Mixture Model (GMM) is often used in conjunction with Mel-frequency cepstral coefficient (MFCC) feature vectors for speaker recognition. A great challenge is to use ...
Thilo Stadelmann, Bernd Freisleben
CDC
2009
IEEE
159views Control Systems» more  CDC 2009»
15 years 11 months ago
A distributed machine learning framework
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
Tansu Alpcan, Christian Bauckhage
IPPS
1999
IEEE
15 years 11 months ago
DynBench: A Dynamic Benchmark Suite for Distributed Real-Time Systems
In this paper we present the architecture and framework for a benchmark suite that has been developed as part of the DeSiDeRaTa project. The proposed benchmark suite is representat...
Behrooz Shirazi, Lonnie R. Welch, Binoy Ravindran,...
DSN
2003
IEEE
15 years 12 months ago
Masquerade Detection Using Enriched Command Lines
A masquerade attack, in which one user impersonates another, is among the most serious forms of computer abuse, largely because such attacks are often mounted by insiders, and can...
Roy A. Maxion