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85
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NIPS
2007
15 years 1 months ago
Learning with Tree-Averaged Densities and Distributions
We utilize the ensemble of trees framework, a tractable mixture over superexponential number of tree-structured distributions [1], to develop a new model for multivariate density ...
Sergey Kirshner
INFOCOM
2010
IEEE
14 years 10 months ago
High-Speed Per-Flow Traffic Measurement with Probabilistic Multiplicity Counting
On today's high-speed backbone network links, measuring per-flow traffic information has become very challenging. Maintaining exact per-flow packet counters on OC-192 or OC-76...
Peter Lieven, Björn Scheuermann
103
Voted
ECCV
2006
Springer
16 years 2 months ago
Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Dahua Lin, Xiaoou Tang
109
Voted
PAKDD
2010
ACM
173views Data Mining» more  PAKDD 2010»
14 years 10 months ago
Distributed Knowledge Discovery with Non Linear Dimensionality Reduction
Data mining tasks results are usually improved by reducing the dimensionality of data. This improvement however is achieved harder in the case that data lay on a non linear manifol...
Panagis Magdalinos, Michalis Vazirgiannis, Dialect...
INFOCOM
1999
IEEE
15 years 4 months ago
Inference of Multicast Routing Trees and Bottleneck Bandwidths Using End-to-end Measurements
Abstract-- The efficacy of end-to-end multicast transport protocols depends critically upon their ability to scale efficiently to a large number of receivers. Several research mult...
Sylvia Ratnasamy, Steven McCanne