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CVPR
2005
IEEE
16 years 7 months ago
Learning to Estimate Human Pose with Data Driven Belief Propagation
We propose a statistical formulation for 2-D human pose estimation from single images. The human body configuration is modeled by a Markov network and the estimation problem is to...
Gang Hua, Ming-Hsuan Yang, Ying Wu
GLVLSI
2009
IEEE
164views VLSI» more  GLVLSI 2009»
15 years 12 months ago
Capturing topology-level implications of link synthesis techniques for nanoscale networks-on-chip
In the context of nanoscale networks-on-chip (NoCs), each link implementation solution is not just a specific synthesis optimization technique with local performance and power im...
Daniele Ludovici, Georgi Nedeltchev Gaydadjiev, Da...
SECPERU
2006
IEEE
15 years 11 months ago
An Effective Approach for Accurate Estimation of Trust of Distant Information Sources in the Semantic Web
To assess the trustworthiness of the information published in the World Wide Web referrals are often employed. This is due to the fact that most information sources are visited on...
Vangelis G. Bintzios, Thanasis G. Papaioannou, Geo...
AGI
2008
15 years 6 months ago
Probabilistic Quantifier Logic for General Intelligence: An Indefinite Probabilities Approach
: Indefinite probabilities are a novel technique for quantifying uncertainty, which were created as part of the PLN (Probabilistic Logic Networks) logical inference engine, which i...
Matthew Iklé, Ben Goertzel
EUSFLAT
2009
124views Fuzzy Logic» more  EUSFLAT 2009»
15 years 2 months ago
A toward Framework for Generic Uncertainty Management
The need for an automatic inference process able to deal with information coming from unreliable sources is becoming a relevant issue both on corporate networks and on the open Web...
Ernesto Damiani, Paolo Ceravolo, Marcello Leida