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» Selectivity Estimation using Probabilistic Models
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ISNN
2004
Springer
15 years 5 months ago
Realtime Monitoring of Vascular Conditions Using a Probabilistic Neural Network
Abstract. This paper proposes a new method to discriminate the vascular conditions from biological signals by using a probabilistic neural network, and develops the diagnosis suppo...
Akira Sakane, Toshio Tsuji, Yoshiyuki Tanaka, Kenj...
EOR
2006
104views more  EOR 2006»
14 years 11 months ago
Link function selection in stochastic multicriteria decision making models
A stochastic formulation of the Analytic Hierarchy Process (AHP) using an approach based on Bayesian categorical data models has been developed. However, in categorical data model...
Eugene D. Hahn
ICMCS
2006
IEEE
86views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Robust Speaker Recognition using SNR-Aware Subspace-Based Enhancement and Probabilistic SVMs
In this paper, we present a robust text-independent speaker recognition system. The proposed system mainly includes an SNR-aware subspace-based enhancement technique and probabili...
Jia-Ching Wang, Jhing-Fa Wang, Wai-He Kuok, Hsiao ...
ECCV
2006
Springer
16 years 1 months ago
Revisiting the Brightness Constraint: Probabilistic Formulation and Algorithms
Abstract. In this paper we introduce a principled approach to modeling the image brightness constraint for optical flow algorithms. Using a simple noise model, we derive a probabil...
Venu Madhav Govindu
CIA
2007
Springer
15 years 6 months ago
A Probabilistic Framework for Decentralized Management of Trust and Quality
In this paper, we propose a probabilistic framework targeting three important issues in the computation of quality and trust in decentralized systems. Specifically, our approach a...
Le-Hung Vu, Karl Aberer