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» Embedding Heterogeneous Data Using Statistical Models
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ICPR
2008
IEEE
15 years 7 months ago
Tracking human body by using particle filter Gaussian process Markov-switching model
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent v...
Jing Wang, Hong Man, Yafeng Yin
116
Voted
BMCBI
2006
151views more  BMCBI 2006»
15 years 19 days ago
Modeling Sage data with a truncated gamma-Poisson model
Background: Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means t...
Helene H. Thygesen, Aeilko H. Zwinderman
98
Voted
ICDM
2008
IEEE
179views Data Mining» more  ICDM 2008»
15 years 7 months ago
Detection and Exploration of Outlier Regions in Sensor Data Streams
Sensor networks play an important role in applications concerned with environmental monitoring, disaster management, and policy making. Effective and flexible techniques are need...
Conny Franke, Michael Gertz
118
Voted
ICASSP
2008
IEEE
15 years 7 months ago
Audiovisual-to-articulatory speech inversion using Active Appearance Models for the face and Hidden Markov Models for the dynami
We are interested in recovering aspects of vocal tract’s geometry and dynamics from auditory and visual speech cues. We approach the problem in a statistical framework based on ...
Athanassios Katsamanis, George Papandreou, Petros ...
103
Voted
DOLAP
2009
ACM
15 years 4 months ago
Defining ETL worfklows using BPMN and BPEL
Decisional systems are crucial for enterprise improvement. They allow the consolidation of heterogeneous data from distributed enterprise data stores into strategic indicators. An...
Zineb El Akkaoui, Esteban Zimányi