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BMCBI
2006
119views more  BMCBI 2006»
15 years 3 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
CCGRID
2008
IEEE
15 years 9 months ago
Modeling "Just-in-Time" Communication in Distributed Real-Time Multimedia Applications
—The research area of Multimedia Content Analysis (MMCA) considers all aspects of the automated extraction of new knowledge from large multimedia data streams and archives. In re...
R. Yang, Robert D. van der Mei, D. Roubos, Frank J...
AI
2010
Springer
15 years 6 months ago
Automatic Discovery of Network Applications: A Hybrid Approach
Automatic discovery of network applications is a very challenging task which has received a lot of attentions due to its importance in many areas such as network security, QoS prov...
Mahbod Tavallaee, Wei Lu, Ebrahim Bagheri, Ali A. ...
KDD
2009
ACM
364views Data Mining» more  KDD 2009»
16 years 3 months ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
IPMI
2005
Springer
16 years 4 months ago
Extrapolation of Sparse Tensor Fields: Application to the Modeling of Brain Variability
Modeling the variability of brain structures is a fundamental problem in the neurosciences. In this paper, we start from a dataset of precisely delineated anatomical structures in ...
Pierre Fillard, Vincent Arsigny, Xavier Pennec, Pa...