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» Approximating the Number of Network Motifs
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CORR
2007
Springer
135views Education» more  CORR 2007»
14 years 9 months ago
Detailed Network Measurements Using Sparse Graph Counters: The Theory
— Measuring network flow sizes is important for tasks like accounting/billing, network forensics and security. Per-flow accounting is considered hard because it requires that m...
Yi Lu, Andrea Montanari, Balaji Prabhakar
IJCAT
2010
133views more  IJCAT 2010»
14 years 8 months ago
A 3D shape classifier with neural network supervision
: The task of 3D shape classification is to assign a set of unordered shapes into pre-tagged classes with class labels, and find the most suitable class for a newly given shape. In...
Zhenbao Liu, Jun Mitani, Yukio Fukui, Seiichi Nish...
INFOCOM
2009
IEEE
15 years 4 months ago
Sensor Network Localization Using Sensor Perturbation
—Sensor network localization is an instance of the NP-HARD graph realization problem. Thus, methods used in practice are not guaranteed to find the correct localization, even if...
Yuanchen Zhu, Steven J. Gortler, Dylan Thurston
ICC
2008
IEEE
120views Communications» more  ICC 2008»
15 years 4 months ago
Single-Symbol ML Decodable Precoded DSTBCs for Cooperative Networks
Abstract— Single-Symbol Maximum Likelihood (ML) decodable Distributed Orthogonal Space-Time Block Codes (DOSTBCs) have been introduced recently for cooperative networks and an up...
Jagadeesh Harshan, B. Sundar Rajan
GLOBECOM
2007
IEEE
15 years 4 months ago
Macro-Level and Micro-Level Routing (MMR) for Urban Vehicular Ad Hoc Networks
— Finding a reliable and efficient routing path in vehicular ad hoc networks (VANETs) is a challenging issue due to high mobility of vehicles and frequent link breakage. Motivat...
Youndo Lee, Hojin Lee, Nakjung Choi, Yanghee Choi,...