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» Selectivity Estimation using Probabilistic Models
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139
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IMC
2006
ACM
15 years 8 months ago
On unbiased sampling for unstructured peer-to-peer networks
This paper addresses the difficult problem of selecting representative samples of peer properties (e.g., degree, link bandwidth, number of files shared) in unstructured peer-to-p...
Daniel Stutzbach, Reza Rejaie, Nick G. Duffield, S...
3DOR
2010
14 years 9 months ago
Learning the Compositional Structure of Man-Made Objects for 3D Shape Retrieval
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
Raoul Wessel, Reinhard Klein
126
Voted
CLEAR
2007
Springer
136views Biometrics» more  CLEAR 2007»
15 years 8 months ago
The ISL RT-07 Speech-to-Text System
Abstract. This paper describes the 2007 meeting speech-to-text system for lecture rooms developed at the Interactive Systems Laboratories (ISL), for the multiple distant microphone...
Matthias Wölfel, Sebastian Stüker, Flori...
136
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ICPR
2010
IEEE
15 years 16 days ago
Low-Level Image Segmentation Based Scene Classification
This paper is aimed at evaluating the semantic information content of multiscale, low-level image segmentation. As a method of doing this, we use selected features of segmentation...
Emre Akbas, Narendra Ahuja
134
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PAMI
2008
145views more  PAMI 2008»
15 years 2 months ago
Latent-Space Variational Bayes
Variational Bayesian Expectation-Maximization (VBEM), an approximate inference method for probabilistic models based on factorizing over latent variables and model parameters, has ...
JaeMo Sung, Zoubin Ghahramani, Sung Yang Bang