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NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 5 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
KDD
2008
ACM
217views Data Mining» more  KDD 2008»
16 years 2 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White
ICMI
2007
Springer
215views Biometrics» more  ICMI 2007»
15 years 7 months ago
Visual inference of human emotion and behaviour
We address the problem of automatic interpretation of nonexaggerated human facial and body behaviours captured in video. We illustrate our approach by three examples. (1) We intro...
Shaogang Gong, Caifeng Shan, Tao Xiang
UML
2001
Springer
15 years 6 months ago
UML Modelling and Performance Analysis of Mobile Software Architectures
Modern distributed software applications generally operate in complex and heterogeneous computing environments (like the World Wide Web). Different paradigms (client-server, mobili...
Vincenzo Grassi, Raffaela Mirandola
MIR
2006
ACM
220views Multimedia» more  MIR 2006»
15 years 7 months ago
Robust scene recognition using language models for scene contexts
We propose a robust scene recognition framework using scene context information for multimedia contents. Multimedia contents consist of scene sequences that are more likely to hap...
Ryoichi Ando, Koichi Shinoda, Sadaoki Furui, Takah...