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» On robust online scheduling algorithms
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ICCV
2009
IEEE
13 years 5 months ago
A robust boosting tracker with minimum error bound in a co-training framework
The varying object appearance and unlabeled data from new frames are always the challenging problem in object tracking. Recently machine learning methods are widely applied to tra...
Rong Liu, Jian Cheng, Hanqing Lu
ECCV
2008
Springer
14 years 9 months ago
Robust Visual Tracking Based on an Effective Appearance Model
Most existing appearance models for visual tracking usually construct a pixel-based representation of object appearance so that they are incapable of fully capturing both global an...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang
CGF
2007
139views more  CGF 2007»
13 years 8 months ago
Online Motion Capture Marker Labeling for Multiple Interacting Articulated Targets
In this paper, we propose an online motion capture marker labeling approach for multiple interacting articulated targets. Given hundreds of unlabeled motion capture markers from m...
Qian Yu, Qing Li, Zhigang Deng
ACSAC
2009
IEEE
14 years 2 months ago
Online Sketching of Network Flows for Real-Time Stepping-Stone Detection
Abstract—We present an efficient and robust stepping-stone detection scheme based on succinct packet-timing sketches of network flows. The proposed scheme employs an online alg...
Baris Coskun, Nasir D. Memon
AUSAI
2003
Springer
14 years 1 months ago
Guided Operators for a Hyper-Heuristic Genetic Algorithm
We have recently introduced a hyper-heuristic genetic algorithm (hyper-GA) with an adaptive length chromosome which aims to evolve an ordering of low-level heuristics so as to find...
Limin Han, Graham Kendall