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ICMCS
2007
IEEE
191views Multimedia» more  ICMCS 2007»
15 years 6 months ago
Variable Number of "Informative" Particles for Object Tracking
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
Yu Huang, Joan Llach
BMCBI
2008
117views more  BMCBI 2008»
14 years 11 months ago
New resampling method for evaluating stability of clusters
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
Irina Gana Dresen, Tanja Boes, Johannes Hüsin...
SIGGRAPH
1996
ACM
15 years 3 months ago
A Volumetric Method for Building Complex Models from Range Images
A number of techniques have been developed for reconstructing surfaces by integrating groups of aligned range images. A desirable set of properties for such algorithms includes: i...
Brian Curless, Marc Levoy
ACL
1998
15 years 1 months ago
Splitting Long or Ill-formed Input for Robust Spoken-language Translation
This paper proposes an input-splitting method for translating spoken-language which includes many long or ill-formed expressions. The proposed method splits input into well-balanc...
Osamu Furuse, Setsuo Yamada, Kazuhide Yamamoto
VLDB
1998
ACM
192views Database» more  VLDB 1998»
15 years 3 months ago
Algorithms for Mining Distance-Based Outliers in Large Datasets
This paper deals with finding outliers (exceptions) in large, multidimensional datasets. The identification of outliers can lead to the discovery of truly unexpected knowledge in ...
Edwin M. Knorr, Raymond T. Ng