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PR
2007
102views more  PR 2007»
15 years 5 months ago
A robust incremental learning framework for accurate skin region segmentation in color images
In this paper, we propose a robust incremental learning framework for accurate skin region segmentation in real-life images. The proposed framework is able to automatically learn ...
Bin Li, Xiangyang Xue, Jianping Fan
COLT
2010
Springer
15 years 4 months ago
Robust Hierarchical Clustering
One of the most widely used techniques for data clustering is agglomerative clustering. Such algorithms have been long used across many different fields ranging from computational...
Maria-Florina Balcan, Pramod Gupta
CVPR
2011
IEEE
14 years 10 months ago
Robust Tracking Using Local Sparse Appearance Model and K-Selection
Online learned tracking is widely used for it’s adaptive ability to handle appearance changes. However, it introduces potential drifting problems due to the accumulation of erro...
Baiyang Liu, junzhou Huang, Casimir Kulikowski, Li...
ICASSP
2011
IEEE
14 years 10 months ago
A fast solution to robust minimum variance beamformer and application to simultaneous MEG and local field potential
Abstract—In this study, a robust minimum variance beamformer (RMVB) is employed for source reconstruction in simultaneous MEG and local field potential (LFP) measurements. RMVB ...
Hamid Reza Mohseni, Morten L. Kringelbach, Mark W....
CVPR
2000
IEEE
16 years 8 months ago
Robust and Efficient Skeletal Graphs
There has recently been significant interest in using repions based on abstractions of Blum's skeleton into a graph, for qualitative shape matching. The application of these ...
Pavel Dimitrov, Carlos Phillips, Kaleem Siddiqi