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» Regularization Methods for Additive Models
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ICIP
2005
IEEE
16 years 1 months ago
Multiple feature models for image matching
The common approach to image matching is to detect spatial features present in both images and create a mapping that relates both images. The main drawback of this method takes pl...
Juan Morales-Sánchez, Rafael Verdú, ...
KDD
2010
ACM
310views Data Mining» more  KDD 2010»
15 years 3 months ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...
CONCURRENCY
2007
95views more  CONCURRENCY 2007»
14 years 12 months ago
Automated and accurate cache behavior analysis for codes with irregular access patterns
Abstract. The memory hierarchy plays an essential role in the performance of current computers, thus good analysis tools that help predict and understand its behavior are required....
Diego Andrade, Manuel Arenaz, Basilio B. Fraguela,...
SCALESPACE
2007
Springer
15 years 6 months ago
Faithful Recovery of Vector Valued Functions from Incomplete Data
On March 11, 1944, the famous Eremitani Church in Padua (Italy) was destroyed in an Allied bombing along with the inestimable frescoes by Andrea Mantegna et al. contained in the Ov...
Massimo Fornasier
ISI
2004
Springer
15 years 5 months ago
Spatial Forecast Methods for Terrorist Events in Urban Environments
Abstract. Terrorist events such as suicide bombings are rare yet extremely destructive events. Responses to such events are even rarer, because they require forecasting methods for...
Donald Brown, Jason Dalton, Heidi Hoyle