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CVPR
2010
IEEE
15 years 6 months ago
Visual Object Tracking using Adaptive Correlation Filters
Although not commonly used, correlation filters can track complex objects through rotations, occlusions and other distractions at over 20 times the rate of current state-ofthe-ar...
David Bolme, J Ross Beveridge, Bruce Draper, Yui M...
PODS
2005
ACM
115views Database» more  PODS 2005»
15 years 10 months ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...
ICC
2009
IEEE
146views Communications» more  ICC 2009»
14 years 7 months ago
On Construction of Moderate-Length LDPC Codes over Correlated Erasure Channels
The design of moderate-length erasure correcting low-density parity-check (LDPC) codes over correlated erasure channels is considered. Although the asymptotic LDPC code design rema...
Gianluigi Liva, Balázs Matuz, Zoltán...
IJCV
2010
574views more  IJCV 2010»
14 years 8 months ago
Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding
We propose a novel approach to understanding activities from their partial observations monitored through multiple non-overlapping cameras separated by unknown time gaps. In our...
Chen Change Loy, Tao Xiang, Shaogang Gong
ICPR
2006
IEEE
15 years 11 months ago
A Maximum-Likelihood Approach to Symbolic Indirect Correlation
Symbolic Indirect Correlation (SIC) is a nonparametric method that offers significant advantages for recognition of ordered unsegmented signals. A previously introduced formulatio...
Ashutosh Joshi, Daniel P. Lopresti, George Nagy, S...