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IJAR
2006
89views more  IJAR 2006»
15 years 4 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
JVCA
2010
75views more  JVCA 2010»
15 years 2 months ago
Image-based detail reconstruction of non-Lambertian surfaces
This paper presents a novel optimization framework for estimating the static or dynamic surfaces with details. The proposed method uses dense depths from a structuredlight system ...
I-Chen Lin, Wen-Hsing Chang, Yung-Sheng Lo, Jen-Yu...
CORR
2011
Springer
205views Education» more  CORR 2011»
14 years 11 months ago
Random Walk on Directed Dynamic Graphs
Dynamic graphs have emerged as an appropriate model to capture the changing nature of many modern networks, such as peer-to-peer overlays and mobile ad hoc networks. Most of the re...
Oksana Denysyuk, Luis Rodrigues
IJMMS
2007
163views more  IJMMS 2007»
15 years 4 months ago
Beyond ontologies: Toward situated representations of scientific knowledge
: In information systems that support knowledge-discovery applications such as scientific exploration, reliance on highly structured ontologies as data-organization aids can be lim...
William Pike, Mark Gahegan
CGF
2010
182views more  CGF 2010»
15 years 2 months ago
A Data-driven Segmentation for the Shoulder Complex
The human shoulder complex is perhaps the most complicated joint in the human body being comprised of a set of three bones, muscles, tendons, and ligaments. Despite this anatomica...
Q. Youn Hong, Sang Il Park, Jessica K. Hodgins