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IJAR
2006
89views more  IJAR 2006»
15 years 6 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 5 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»
15 years 1 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 6 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 4 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