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JMLR
2012
13 years 9 months ago
Maximum Margin Temporal Clustering
Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
Minh Hoai Nguyen, Fernando De la Torre
CVPR
2005
IEEE
16 years 8 months ago
Simultaneous Modeling and Tracking (SMAT) of Feature Sets
A novel method for the simultaneous modeling and tracking (SMAT) of a feature set during motion sequence is proposed. The method requires no prior information. Instead the a poste...
N. D. H. Dowson, Richard Bowden
DMIN
2006
151views Data Mining» more  DMIN 2006»
15 years 7 months ago
Rough Set Theory: Approach for Similarity Measure in Cluster Analysis
- Clustering of data is an important data mining application. One of the problems with traditional partitioning clustering methods is that they partition the data into hard bound n...
Shuchita Upadhyaya, Alka Arora, Rajni Jain
BMCBI
2005
212views more  BMCBI 2005»
15 years 6 months ago
PAGE: Parametric Analysis of Gene Set Enrichment
Background: Gene set enrichment analysis (GSEA) is a microarray data analysis method that uses predefined gene sets and ranks of genes to identify significant biological changes i...
Seon-Young Kim, David J. Volsky
HICSS
2007
IEEE
108views Biometrics» more  HICSS 2007»
16 years 23 days ago
Human Computer Interaction in the Pre-Hospital Setting
This paper describes the human computer interface of a new emergency medical services application, which uses several emerging technologies to clarify the inherent complexity and ...
Mark Gaynor, Dan Myung, Raj Patel, Steve Moulton