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UAI
2004
15 years 5 months ago
Convolutional Factor Graphs as Probabilistic Models
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
Yongyi Mao, Frank R. Kschischang, Brendan J. Frey
ICCV
2011
IEEE
14 years 4 months ago
Learning Spatiotemporal Graphs of Human Activities
Complex human activities occurring in videos can be defined in terms of temporal configurations of primitive actions. Prior work typically hand-picks the primitives, their total...
William Brendel, Sinisa Todorovic
DIAGRAMS
2004
Springer
15 years 9 months ago
Drawing Graphs in Euler Diagrams
We describe a method for drawing graph-enhanced Euler diagrams using a three stage method. The first stage is to lay out the underlying Euler diagram using a multicriteria optimizi...
Paul Mutton, Peter Rodgers, Jean Flower
GD
2000
Springer
15 years 7 months ago
Three-Dimensional Orthogonal Graph Drawing with Optimal Volume
An orthogonal drawing of a graph is an embedding of the graph in the rectangular grid, with vertices represented by axis-aligned boxes, and edges represented by paths in the grid w...
Therese C. Biedl, Torsten Thiele, David R. Wood
146
Voted
IJCAI
1989
15 years 5 months ago
Reasoning About Assumptions in Graphs of Models
Solving design and analysis problems in physical worlds requires the representatio n of large amounts of knowledge. Recently, there has been much interest in explicitly making ass...
Sanjaya Addanki, Roberto Cremonini, J. Scott Penbe...