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» Application of Level Set Methods in Computer Vision
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KDD
2005
ACM
205views Data Mining» more  KDD 2005»
16 years 3 days ago
Feature bagging for outlier detection
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
Aleksandar Lazarevic, Vipin Kumar
IMAGING
2001
15 years 8 months ago
Color Calibrated High Dynamic Range Imaging with ICC Profiles
High dynamic range (HDR) imaging has become a powerful tool in computer graphics, and is being applied to scenarios like simulation of different film responses, motion blur, and i...
Michael Goesele, Wolfgang Heidrich, Hans-Peter Sei...
HYBRID
2010
Springer
15 years 8 months ago
Identifiability of discrete-time linear switched systems
In this paper we study the identifiability of linear switched systems (LSSs ) in discrete-time. The question of identifiability is central to system identification, as it sets the...
Mihály Petreczky, Laurent Bako, Jan H. van ...
TSMC
2008
93views more  TSMC 2008»
15 years 6 months ago
Selection of DNA Markers
Given a genome, i.e., a long string over a fixed finite alphabet, the problem is to find short (dis)similar substrings. This computationally intensive task has many biological appl...
Hendrik Jan Hoogeboom, Walter A. Kosters, Jeroen F...
CLOUD
2010
ACM
15 years 11 months ago
Stateful bulk processing for incremental analytics
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...