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» Embedding Heterogeneous Data Using Statistical Models
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BMCBI
2006
150views more  BMCBI 2006»
15 years 26 days ago
Instance-based concept learning from multiclass DNA microarray data
Background: Various statistical and machine learning methods have been successfully applied to the classification of DNA microarray data. Simple instance-based classifiers such as...
Daniel P. Berrar, Ian Bradbury, Werner Dubitzky
82
Voted
ICDAR
2003
IEEE
15 years 6 months ago
SAGENT: A Novel Technique for Document Modeling for Secure Access and Distribution
A novel strategy for the representation and manipulation of distributed documents, potentially complex and heterogeneous, is presented in this paper. The document under the propos...
Sanaul Hoque, Hossam Selim, Gareth Howells, Michae...
MICCAI
2000
Springer
15 years 4 months ago
Fusing Speed and Phase Information for Vascular Segmentation in Phase Contrast MR Angiograms
This paper presents a statistical approach to aggregating speed and phase (directional) information for vascular segmentation in phase contrast magnetic resonance angiograms (PC-MR...
Albert C. S. Chung, J. Alison Noble, Paul E. Summe...
290
Voted
EMMCVPR
2011
Springer
14 years 16 days ago
Data-Driven Importance Distributions for Articulated Tracking
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
Søren Hauberg, Kim Steenstrup Pedersen
ACL
2010
14 years 11 months ago
Optimising Information Presentation for Spoken Dialogue Systems
We present a novel approach to Information Presentation (IP) in Spoken Dialogue Systems (SDS) using a data-driven statistical optimisation framework for content planning and attri...
Verena Rieser, Oliver Lemon, Xingkun Liu