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ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
14 years 4 months ago
Granularity Conscious Modeling for Probabilistic Databases
The convergence of embedded sensor systems and stream query processing suggests an important role for database techniques, in managing data that only partially – and often inacc...
Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Gar...
ICIP
2006
IEEE
14 years 11 months ago
Region-Based Shape Incorporation for Probabilistic Spatio-Temporal Video Object Segmentation
Embedding generic shape information into probabilistic spatiotemporal video object segmentation is of pivotal importance to achieving better segmentation, since it provides valuab...
Rakib Ahmed, Gour C. Karmakar, Laurence S. Dooley
ACCV
2006
Springer
14 years 4 months ago
Probabilistic Modeling for Structural Change Inference
We view the task of change detection as a problem of object recognition from learning. The object is defined in a 3D space where the time is the 3rd dimension. We propose two com...
Wei Liu, Véronique Prinet
RTAS
2003
IEEE
14 years 3 months ago
Probabilistic Worst-Case Response-Time Analysis for the Controller Area Network
This paper presents a novel approach for calculating a probabilistic worst-case response-time for messages in the Controller Area Network (CAN). CAN uses a bit-stuffing mechanism...
Thomas Nolte, Hans Hansson, Christer Norström
ICCV
2005
IEEE
14 years 12 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu