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KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 9 months ago
Stochastic processes and temporal data mining
This article tries to give an answer to a fundamental question in temporal data mining: "Under what conditions a temporal rule extracted from up-to-date temporal data keeps i...
Paul Cotofrei, Kilian Stoffel
ICPR
2000
IEEE
14 years 1 months ago
Stochastic Error-Correcting Parsing for OCR Post-Processing
In this paper, stochastic error-correcting parsing is proposed as a powerful and flexible method to post-process the results of an optical character recognizer (OCR). Determinist...
Juan Carlos Pérez-Cortes, Juan-Carlos Ameng...
ICCV
2001
IEEE
14 years 10 months ago
Stochastic Processes in Vision: From Langevin to Beltrami
Diffusion processes which are widely used in low level vision are presented as a result of an underlying stochastic process. The short-time non-linear diffusion is interpreted as ...
Nir A. Sochen
ICIP
2008
IEEE
14 years 10 months ago
Variational Bayesian image processing on stochastic factor graphs
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
Xin Li
TPDS
2008
96views more  TPDS 2008»
13 years 8 months ago
Stochastic Graph Processes for Performance Evaluation of Content Delivery Applications in Overlay Networks
This paper proposes a new methodology to model the distribution of finite size content to a group of users connected through an overlay network. Our methodology describes the distr...
Damiano Carra, Renato Lo Cigno, Ernst W. Biersack