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IJCV
2012
13 years 1 months ago
Sparse Occlusion Detection with Optical Flow
Abstract We tackle the problem of detecting occluded regions in a video stream. Under assumptions of Lambertian reflection and static illumination, the task can be posed as a vari...
Alper Ayvaci, Michalis Raptis, Stefano Soatto
101
Voted
CVPR
1999
IEEE
16 years 1 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
ICDM
2009
IEEE
117views Data Mining» more  ICDM 2009»
15 years 5 months ago
Discriminative Mixed-Membership Models
Although mixed-membership models have achieved great success in unsupervised learning, they have not been widely applied to classification problems. In this paper, we propose a f...
Hanhuai Shan, Arindam Banerjee, Nikunj C. Oza
LPNMR
1997
Springer
15 years 3 months ago
Power Defaults
This paper introduces power default reasoning (PDR), a framework for nonmonotonic reasoning based on the domain-theoretic idea of modeling default rules with partial-information i...
Guo-Qiang Zhang, William C. Rounds
ACSAC
2004
IEEE
15 years 2 months ago
Automatic Generation and Analysis of NIDS Attacks
A common way to elude a signature-based NIDS is to transform an attack instance that the NIDS recognizes into another instance that it misses. For example, to avoid matching the a...
Shai Rubin, Somesh Jha, Barton P. Miller