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BMCBI
2007
141views more  BMCBI 2007»
13 years 7 months ago
A novel approach to detect hot-spots in large-scale multivariate data
Background: Progressive advances in the measurement of complex multifactorial components of biological processes involving both spatial and temporal domains have made it difficult...
Jianhua Wu, Keith M. Kendrick, Jianfeng Feng
BMCBI
2005
251views more  BMCBI 2005»
13 years 7 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
SIGMOD
2004
ACM
150views Database» more  SIGMOD 2004»
14 years 7 months ago
When one Sample is not Enough: Improving Text Database Selection Using Shrinkage
Database selection is an important step when searching over large numbers of distributed text databases. The database selection task relies on statistical summaries of the databas...
Panagiotis G. Ipeirotis, Luis Gravano
ASIAMS
2007
IEEE
14 years 1 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal
SIGGRAPH
1996
ACM
13 years 11 months ago
Blue Screen Matting
A classical problem of imaging--the matting problem--is separation of a non-rectangular foreground image from a (usually) rectangular background image--for example, in a film fram...
Alvy Ray Smith, James F. Blinn