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» Algorithmic randomness of continuous functions
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CVPR
2008
IEEE
14 years 10 months ago
Principled fusion of high-level model and low-level cues for motion segmentation
High-level generative models provide elegant descriptions of videos and are commonly used as the inference framework in many unsupervised motion segmentation schemes. However, app...
Arasanathan Thayananthan, Masahiro Iwasaki, Robert...
COMPGEOM
2004
ACM
14 years 2 months ago
A 2D kinetic triangulation with near-quadratic topological changes
Given a set of n points S in the plane, a triangulation of S is a subdivision of the convex hull into triangles whose vertices are from S. In the kinetic setting, the input point ...
Pankaj K. Agarwal, Yusu Wang, Hai Yu
NIPS
2008
13 years 10 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
SRDS
2006
IEEE
14 years 2 months ago
Call Availability Prediction in a Telecommunication System: A Data Driven Empirical Approach
Availability prediction in a telecommunication system plays a crucial role in its management, either by alerting the operator to potential failures or by proactively initiating pr...
Günther A. Hoffmann, Miroslaw Malek
KBSE
2005
IEEE
14 years 2 months ago
A context-sensitive structural heuristic for guided search model checking
Software verification using model checking often translates programs into corresponding transition systems that model the program behavior. As software systems continue to grow i...
Neha Rungta, Eric G. Mercer