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ICASSP
2010
IEEE
14 years 11 months ago
On the Shannon capacity of DNA data embedding
This paper firstly gives a brief overview of information embedding in deoxyribonucleic acid (DNA) sequences and its applications. DNA data embedding can be considered as a partic...
Félix Balado
CAIP
2009
Springer
210views Image Analysis» more  CAIP 2009»
15 years 3 months ago
Shape Classification Using a Flexible Graph Kernel
The medial axis being an homotopic transformation, the skeleton of a 2D shape corresponds to a planar graph having one face for each hole of the shape and one node for each junctio...
François-Xavier Dupé, Luc Brun
91
Voted
IJCAI
2007
15 years 14 days ago
A Subspace Kernel for Nonlinear Feature Extraction
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
Mingrui Wu, Jason D. R. Farquhar
63
Voted
ICML
2008
IEEE
15 years 12 months ago
Tailoring density estimation via reproducing kernel moment matching
Moment matching is a popular means of parametric density estimation. We extend this technique to nonparametric estimation of mixture models. Our approach works by embedding distri...
Alex J. Smola, Arthur Gretton, Bernhard Schöl...
RTCSA
2006
IEEE
15 years 5 months ago
Predictable Interrupt Scheduling with Low Overhead for Real-Time Kernels
In this paper we analyze the traditional model of interrupt management and its inability to incorporate the reliability and temporal predictability demanded by real-time systems. ...
Luis E. Leyva-del-Foyo, Pedro Mejía-Alvarez...