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» A Calculus for Data Mapping
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NIPS
2008
15 years 8 months ago
Robust Kernel Principal Component Analysis
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
Minh Hoai Nguyen, Fernando De la Torre
FLAIRS
2003
15 years 8 months ago
ADEMA : A System to Help Physicians in the Asthma Health Care
Asthma is a distressing disease, affecting up to 7% of the French population and causing considerable morbidity and mortality. A medical decision support system such can help phys...
Icham Sefion, Abdel Ennaji, Marc Gailhardou
ACL
1998
15 years 8 months ago
Named Entity Scoring for Speech Input
This paper describes a new scoring algorithm that supports comparison of linguistically annotated data from noisy sources. The new algorithm generalizes the Message Understanding ...
John D. Burger, David D. Palmer, Lynette Hirschman
NIPS
1998
15 years 8 months ago
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
Michael S. Lewicki, Terrence J. Sejnowski
ICASSP
2010
IEEE
15 years 7 months ago
Buffer management for multi-application image processing on multi-core platforms: Analysis and case study
Due to the limited amounts of on-chip memory, large volumes of data, and performance and power consumption overhead associated with interprocessor communication, efficient managem...
Dong-Ik Ko, Nara Won, Shuvra S. Bhattacharyya