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» Approximability of Probability Distributions
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MVA
2007
149views Computer Vision» more  MVA 2007»
15 years 3 months ago
Extracting Object Regions Using Locally Estimated Probability Density Functions
In this paper, a novel method for estimating a precise object region using a given rough object region is proposed. For determining whether each pixel belongs to an object or not,...
Hidenori Takeshima, Takashi Ida, Toshimitsu Kaneko
EUSFLAT
2001
116views Fuzzy Logic» more  EUSFLAT 2001»
15 years 2 months ago
Risk assessment in natural disasters with fuzzy probabilities
Risk assessment in regions with low earthquake activity is important for reinsurance companies and governmental building authorities. They need a complete picture of the possible ...
Uwe Wagner
UAI
2004
15 years 2 months ago
A New Characterization of Probabilities in Bayesian Networks
We characterize probabilities in Bayesian networks in terms of algebraic expressions called quasi-probabilities. These are arrived at by casting Bayesian networks as noisy AND-OR-...
Lenhart K. Schubert
IJACTAICIT
2010
135views more  IJACTAICIT 2010»
14 years 8 months ago
New Clustering Protocol to Decrease Probability Failure Nodes and Increasing the Lifetime in WSNs
Clustering in wireless sensor networks is one of the crucial methods for increasing of network lifetime. There are many algorithms in for clustering. LEACH algorithm is one of the...
Davood KeyKhosravi, Ali Ghaffari, Ali Hosseinalipo...
CORR
2011
Springer
210views Education» more  CORR 2011»
14 years 8 months ago
Statistical Compressed Sensing of Gaussian Mixture Models
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
Guoshen Yu, Guillermo Sapiro