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» Algorithms for Large, Sparse Network Alignment Problems
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IJCNN
2006
IEEE
15 years 10 months ago
Online Training of a Generalized Neuron with Particle Swarm Optimization
— Neural networks are used in a wide number of fields including signal and image processing, modeling and control and pattern recognition. Some of the most common type of neural ...
Raveesh Kiran, Sandhya R. Jetti, Ganesh K. Venayag...
SIGMOD
2001
ACM
165views Database» more  SIGMOD 2001»
16 years 4 months ago
Mining System Audit Data: Opportunities and Challenges
Intrusion detection is an essential component of computer security mechanisms. It requires accurate and efficient analysis of a large amount of system and network audit data. It c...
Wenke Lee, Wei Fan
GD
2005
Springer
15 years 10 months ago
MultiPlane: A New Framework for Drawing Graphs in Three Dimensions
This paper presents a new framework for drawing graphs in three dimensions. In general, the new framework uses a divide and conquer approach. More specifically, the framework divi...
Seok-Hee Hong
DCOSS
2009
Springer
15 years 11 months ago
Fast Self-stabilization for Gradients
Abstract. Gradients are distributed distance estimates used as a building block in many sensor network applications. In large or long-lived deployments, it is important for the est...
Jacob Beal, Jonathan Bachrach, Daniel Vickery, Mar...
INFOCOM
2006
IEEE
15 years 10 months ago
Minimum-Energy Broadcast Using Practical Directional Antennas in All-Wireless Networks
— Energy-efficient broadcast communication is an important problem in wireless ad hoc networks. Previously, minimum-energy broadcast that exploits the broadcast nature of radio ...
Sabyasachi Roy, Y. Charlie Hu, Dimitrios Peroulis,...