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» Statistical timing analysis using Kernel smoothing
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ICPR
2008
IEEE
14 years 3 months ago
Object recognition using graph spectral invariants
Graph structures have been proved important in high level-vision since they can be used to represent structural and relational arrangements of objects in a scene. One of the probl...
Bai Xiao, Richard C. Wilson, Edwin R. Hancock
CVPR
2005
IEEE
14 years 10 months ago
The Modified pbM-Estimator Method and a Runtime Analysis Technique for the RANSAC Family
Robust regression techniques are used today in many computer vision algorithms. Chen and Meer recently presented a new robust regression technique named the projection based M-est...
Stas Rozenfeld, Ilan Shimshoni
WORDS
2005
IEEE
14 years 2 months ago
Delay Analysis for Statistical Real-Time Channels in Mobile Ad-Hoc Networks
Wireless devices that communicate using the IEEE 802.11 protocol can be used to create mobile ad-hoc networks (MANETs). Many interesting applications using MANETs are realizable i...
Min-Gu Lee, Sunggu Lee
ICASSP
2011
IEEE
13 years 13 days ago
Stochastic behavior analysis of the Gaussian Kernel Least Mean Square algorithm
Like its linear counterpart, the Kernel Least Mean Square (KLMS) algorithm is also becoming popular in nonlinear adaptive filtering due to its simplicity and robustness. The “k...
Wemerson D. Parreira, José Carlos M. Bermud...
ML
2002
ACM
163views Machine Learning» more  ML 2002»
13 years 8 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola