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ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
13 years 5 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala
ICRA
2010
IEEE
178views Robotics» more  ICRA 2010»
13 years 5 months ago
Biomimetic optic flow sensing applied to a lunar landing scenario
Autonomous landing on unknown extraterrestrial bodies requires fast, noise-resistant motion processing to elicit appropriate steering commands. Flying insects excellently master vi...
Florent Valette, Franck Ruffier, Stéphane V...
INFOCOM
2010
IEEE
13 years 5 months ago
FlashTrie: Hash-based Prefix-Compressed Trie for IP Route Lookup Beyond 100Gbps
It is becoming apparent that the next generation IP route lookup architecture needs to achieve speeds of 100Gbps and beyond while supporting both IPv4 and IPv6 with fast real-time ...
Masanori Bando, H. Jonathan Chao
CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
13 years 2 months ago
A distributed Newton method for Network Utility Maximization
Most existing work uses dual decomposition and subgradient methods to solve Network Utility Maximization (NUM) problems in a distributed manner, which suffer from slow rate of con...
Ermin Wei, Asuman E. Ozdaglar, Ali Jadbabaie
SIAMSC
2011
151views more  SIAMSC 2011»
13 years 2 months ago
Inexact Newton Methods with Restricted Additive Schwarz Based Nonlinear Elimination for Problems with High Local Nonlinearity
The classical inexact Newton algorithm is an efficient and popular technique for solving large sparse nonlinear system of equations. When the nonlinearities in the system are wellb...
Xiao-Chuan Cai, Xuefeng Li