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» Convergence and Next Generation Networks
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75
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GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 5 months ago
Investigating whether hyperNEAT produces modular neural networks
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
97
Voted
CCS
2008
ACM
15 years 2 months ago
SNAPP: stateless network-authenticated path pinning
This paper examines a new building block for next-generation networks: SNAPP, or Stateless Network-Authenticated Path Pinning. SNAPP-enabled routers securely embed their routing d...
Bryan Parno, Adrian Perrig, Dave Andersen
VIS
2008
IEEE
192views Visualization» more  VIS 2008»
16 years 1 months ago
Smooth Surface Extraction from Unstructured Point-based Volume Data Using PDEs
Abstract--Smooth surface extraction using partial differential equations (PDEs) is a well-known and widely used technique for visualizing volume data. Existing approaches operate o...
Paul Rosenthal, Lars Linsen
131
Voted
AICT
2006
IEEE
225views Communications» more  AICT 2006»
15 years 2 months ago
Migration to 4 G: Mobile IP based Solutions
Fourth Generation (4G) is the next generation of wireless networks that will replace third Generation (3G) networks sometimes in future. 4G is intended to provide high speed, high...
K. R. Santhi, G. Senthil Kumaran
INFOCOM
2008
IEEE
15 years 6 months ago
Distributed Operator Placement and Data Caching in Large-Scale Sensor Networks
Abstract—Recent advances in computer technology and wireless communications have enabled the emergence of stream-based sensor networks. In such sensor networks, real-time data ar...
Lei Ying, Zhen Liu, Donald F. Towsley, Cathy H. Xi...