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» Computational Complexity of Probabilistic Disambiguation
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ECCV
2008
Springer
15 years 1 months ago
Event Modeling and Recognition Using Markov Logic Networks
Abstract. We address the problem of visual event recognition in surveillance where noise and missing observations are serious problems. Common sense domain knowledge is exploited t...
Son Dinh Tran, Larry S. Davis
ICPR
2010
IEEE
14 years 9 months ago
Adaptive Motion Model for Human Tracking Using Particle Filter
This paper presents a novel approach to model the complex motion of human using a probabilistic autoregressive moving average model. The parameters of the model are adaptively tun...
Mohammad Hossein Ghaeminia, Amir Hossein Shabani, ...
VLDB
2007
ACM
125views Database» more  VLDB 2007»
15 years 6 months ago
Data Integration with Uncertainty
This paper reports our first set of results on managing uncertainty in data integration. We posit that data-integration systems need to handle uncertainty at three levels, and do...
Xin Luna Dong, Alon Y. Halevy, Cong Yu
ACSD
2008
IEEE
106views Hardware» more  ACSD 2008»
15 years 1 months ago
Time-bounded model checking of infinite-state continuous-time Markov chains
The design of complex concurrent systems often involves intricate performance and dependability considerations. Continuous-time Markov chains (CTMCs) are widely used models for co...
Lijun Zhang, Holger Hermanns, Ernst Moritz Hahn, B...
AAAI
2006
15 years 1 months ago
DNNF-based Belief State Estimation
As embedded systems grow increasingly complex, there is a pressing need for diagnosing and monitoring capabilities that estimate the system state robustly. This paper is based on ...
Paul Elliott, Brian C. Williams