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» Complexity of Reasoning over Temporal Data Models
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MICCAI
2006
Springer
15 years 10 months ago
The Entire Regularization Path for the Support Vector Domain Description
Abstract. The support vector domain description is a one-class classification method that estimates the shape and extent of the distribution of a data set. This separates the data ...
Karl Sjöstrand, Rasmus Larsen
ICASSP
2010
IEEE
14 years 10 months ago
Swift: Scalable weighted iterative sampling for flow cytometry clustering
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
Iftekhar Naim, Suprakash Datta, Gaurav Sharma, Jam...
CC
2006
Springer
124views System Software» more  CC 2006»
15 years 1 months ago
Polyhedral Code Generation in the Real World
The polyhedral model is known to be a powerful framework to reason about high level loop transformations. Recent developments in optimizing compilers broke some generally accepted ...
Nicolas Vasilache, Cédric Bastoul, Albert C...
ECCV
2008
Springer
15 years 11 months ago
GeoS: Geodesic Image Segmentation
This paper presents GeoS, a new algorithm for the efficient segmentation of n-dimensional image and video data. The segmentation problem is cast as approximate energy minimization ...
Antonio Criminisi, Toby Sharp, Andrew Blake
IJCAI
1997
14 years 11 months ago
Adaptive Web Sites: an AI Challenge
The creation of a complex web site is a thorny problem in user interface design. First, di erent visitors have distinct goals. Second, even a single visitor may have di erent need...
Mike Perkowitz, Oren Etzioni