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CSE
2009
IEEE
15 years 7 months ago
Representing Small Group Evolution
: Understanding the dynamics of network evolution rests in part on the representation chosen to characterize the evolutionary process. We offer a simple, three-parameter representa...
Whitman Richards, Nicholas C. Wormald
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
JMLR
2006
104views more  JMLR 2006»
15 years 6 months ago
Learning Image Components for Object Recognition
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
Michael W. Spratling
CORR
2000
Springer
103views Education» more  CORR 2000»
15 years 6 months ago
Towards a query language for annotation graphs
The multidimensional, heterogeneous, and temporal nature of speech databases raises interesting challenges for representation and query. Recently, annotation graphs have been prop...
Steven Bird, Peter Buneman, Wang Chiew Tan
PR
2010
160views more  PR 2010»
15 years 5 months ago
Homeomorphic alignment of weighted trees
Motion capture, a currently active research area, needs estimation of the pose of the subject. For this purpose, we match the tree representation of the skeleton of the 3D shape t...
Benjamin Raynal, Michel Couprie, Venceslas Biri