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» Introduction to Randomized Algorithms
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ICASSP
2011
IEEE
14 years 8 months ago
A novel tracking analysis of the Normalized Least Mean Fourth algorithm
In this work, the tracking analysis of the Normalized Least Mean Fourth (NLMF) algorithm is investigated for a random walk channel under very weak assumptions. The novelty of this...
Muhammad Moinuddin, Azzedine Zerguine
AAAI
2011
14 years 4 months ago
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Byron Boots, Geoffrey J. Gordon
ECCV
2002
Springer
16 years 5 months ago
Using Robust Estimation Algorithms for Tracking Explicit Curves
The context of this work is lateral vehicle control using a camera as a sensor. A natural tool for controlling a vehicle is recursive filtering. The well-known Kalman fil...
Jean-Philippe Tarel, Sio-Song Ieng, Pierre Charbon...
ICML
2007
IEEE
16 years 5 months ago
Comparisons of sequence labeling algorithms and extensions
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
Nam Nguyen, Yunsong Guo
INFOCOM
2009
IEEE
15 years 11 months ago
Minimizing Probing Cost for Detecting Interface Failures: Algorithms and Scalability Analysis
— The automatic detection of failures in IP paths is an essential step for operators to perform diagnosis or for overlays to adapt. We study a scenario where a set of monitors se...
Hung Xuan Nguyen, Renata Teixeira, Patrick Thiran,...