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» Data discretization: taxonomy and big data challenge
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ACMSE
2004
ACM
15 years 4 months ago
Implementing the TEA algorithm on sensors
Sensors are tiny computers with limited computational capability and physical resources. The implementation of secure protocols for sensor network is a big challenge. In order to ...
Shuang Liu, Olga V. Gavrylyako, Phillip G. Bradfor...
CIE
2007
Springer
15 years 5 months ago
Strict Self-assembly of Discrete Sierpinski Triangles
Winfree (1998) showed that discrete Sierpinski triangles can self-assemble in the Tile Assembly Model. A striking molecular realization of this self-assembly, using DNA tiles a fe...
James I. Lathrop, Jack H. Lutz, Scott M. Summers
PAMI
2010
168views more  PAMI 2010»
14 years 9 months ago
Surface-from-Gradients without Discrete Integrability Enforcement: A Gaussian Kernel Approach
—Representative surface reconstruction algorithms taking a gradient field as input enforces the integrability constraint in a discrete manner. While enforcing integrability allo...
Heung-Sun Ng, Tai-Pang Wu, Chi-Keung Tang
SSDBM
2005
IEEE
122views Database» more  SSDBM 2005»
15 years 4 months ago
Detection and Tracking of Discrete Phenomena in Sensor-Network Databases
This paper introduces a framework for Phenomena Detection and Tracking (PDT, for short) in sensor network databases. Examples of detectable phenomena include the propagation over ...
Mohamed H. Ali, Mohamed F. Mokbel, Walid G. Aref, ...
QRE
2008
140views more  QRE 2008»
14 years 10 months ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...