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» Document Retrieval using a Probabilistic Knowledge Model
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CVPR
2010
IEEE
15 years 6 months ago
A Generative Perspective on MRFs in Low-Level Vision
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
Uwe Schmidt, Qi Gao, Stefan Roth
FGR
2000
IEEE
128views Biometrics» more  FGR 2000»
15 years 2 months ago
Understanding Purposeful Human Motion
Human motion can be understood on many levels. The most basic level is the notion that humans are collections of things that have predictable visual appearance. Next is the notion...
Christopher Richard Wren, Brian P. Clarkson, Alex ...
ICDM
2007
IEEE
198views Data Mining» more  ICDM 2007»
15 years 4 months ago
Social Network Extraction of Academic Researchers
This paper addresses the issue of extraction of an academic researcher social network. By researcher social network extraction, we are aimed at finding, extracting, and fusing the...
Jie Tang, Duo Zhang, Limin Yao
SPLC
2004
14 years 11 months ago
Observations from the Recovery of a Software Product Family
The problem of managing the evolution of complex and large software systems is well known. Evolution implies reuse and modification of existing software artifacts, and this means t...
Patricia Lago, Hans van Vliet
ECIR
2007
Springer
14 years 11 months ago
On Score Distributions and Relevance
We discuss the idea of modelling the statistical distributions of scores of documents, classified as relevant or non-relevant. Various specific combinations of standard statistic...
Stephen Robertson