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» Complexity of Reasoning over Temporal Data Models
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MICCAI
2006
Springer
16 years 4 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
15 years 4 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 7 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
16 years 5 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
15 years 5 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