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CVPR
1999
IEEE
16 years 9 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...
KDD
2005
ACM
86views Data Mining» more  KDD 2005»
16 years 7 months ago
Probabilistic workflow mining
In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. In some situations, a normative workflow model o...
Ricardo Silva, Jiji Zhang, James G. Shanahan
CRYPTO
2005
Springer
72views Cryptology» more  CRYPTO 2005»
16 years 22 days ago
Unconditional Characterizations of Non-interactive Zero-Knowledge
Abstract. Non-interactive zero-knowledge (NIZK) proofs have been investigated in two models: the Public Parameter model and the Secret Parameter model. In the former, a public stri...
Rafael Pass, Abhi Shelat
DAGM
2005
Springer
16 years 22 days ago
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation
Abstract. This paper presents the integration of 3D shape knowledge into a variational model for level set based image segmentation and tracking. Having a 3D surface model of an ob...
Thomas Brox, Bodo Rosenhahn, Joachim Weickert
ICANN
2001
Springer
15 years 11 months ago
Independent Variable Group Analysis
Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
Krista Lagus, Esa Alhoniemi, Harri Valpola