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» Graph parameters and semigroup functions
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CVPR
2010
IEEE
14 years 3 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
FSTTCS
2009
Springer
14 years 1 months ago
Modelchecking counting properties of 1-safe nets with buffers in paraPSPACE
ABSTRACT. We consider concurrent systems that can be modelled as 1-safe Petri nets communicating through a fixed set of buffers (modelled as unbounded places). We identify a param...
M. Praveen, Kamal Lodaya
3DPVT
2006
IEEE
170views Visualization» more  3DPVT 2006»
14 years 1 months ago
Minimum Spanning Tree Pose Estimation
The extrinsic camera parameters from video stream images can be accurately estimated by tracking features through the image sequence and using these features to compute parameter ...
Kevin L. Steele, Parris K. Egbert
ENTCS
2006
137views more  ENTCS 2006»
13 years 7 months ago
Coalgebraic Description of Generalized Binary Methods
We extend the Reichel-Jacobs coalgebraic account of specification and refinement of objects and classes in Object Oriented Programming to (generalized) binary methods. These are m...
Furio Honsell, Marina Lenisa, Rekha Redamalla
IVC
2007
114views more  IVC 2007»
13 years 7 months ago
Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views
We introduce a convex relaxation approach for the quadratic assignment problem to the field of computer vision. Due to convexity, a favourable property of this approach is the ab...
Christian Schellewald, Stefan Roth, Christoph Schn...