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TNN
2008
132views more  TNN 2008»
13 years 5 months ago
Just-in-Time Adaptive Classifiers - Part I: Detecting Nonstationary Changes
Abstract--The stationarity requirement for the process generating the data is a common assumption in classifiers' design. When such hypothesis does not hold, e.g., in applicat...
Cesare Alippi, Manuel Roveri
ECBS
2005
IEEE
179views Hardware» more  ECBS 2005»
13 years 11 months ago
Prototype of Fault Adaptive Embedded Software for Large-Scale Real-Time Systems
This paper describes a comprehensive prototype of large-scale fault adaptive embedded software developed for the proposed Fermilab BTeV high energy physics experiment. Lightweight...
Derek Messie, Mina Jung, Jae C. Oh, Shweta Shetty,...
BIBM
2007
IEEE
162views Bioinformatics» more  BIBM 2007»
14 years 4 days ago
Multiple Interacting Subcellular Structure Tracking by Sequential Monte Carlo Method
With the wide application of green fluorescent protein (GFP) in the study of live cells, there is a surging need for the computer-aided analysis on the huge amount of image seque...
Quan Wen, Jean Gao, Kate Luby-Phelps
PAMI
2002
112views more  PAMI 2002»
13 years 5 months ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent
PAMI
2010
156views more  PAMI 2010»
13 years 4 months ago
An Adaptive and Stable Method for Fitting Implicit Polynomial Curves and Surfaces
—Representing 2D and 3D data sets with implicit polynomials (IPs) has been attractive because of its applicability to various computer vision issues. Therefore, many IP fitting m...
Bo Zheng, Jun Takamatsu, Katsushi Ikeuchi