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ICASSP
2011
IEEE
12 years 11 months ago
Multiple instance tracking based on hierarchical maximizing bag's margin boosting
In online tracking, the tracker evolves to reflect variations in object appearance and surroundings. This updating process is formulated as a supervised learning problem, thus a ...
Chunxiao Liu, Guijin Wang, Xinggang Lin, Bobo Zeng
ICASSP
2011
IEEE
12 years 11 months ago
Boosting video classification using cross-video signals
We consider the problem of large-scale video classification. Our attention is focused on online video services since they can provide rich cross-video signals derived from user b...
Mehmet Emre Sargin, Hrishikesh Aradhye
JMLR
2010
130views more  JMLR 2010»
13 years 2 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
CP
2005
Springer
14 years 1 months ago
Boosting Distributed Constraint Satisfaction
Abstract Competition and cooperation can boost the performance of a combinatorial search process. Both can be implemented with a portfolio of algorithms which run in parallel, give...
Georg Ringwelski, Youssef Hamadi
HPDC
1997
IEEE
13 years 12 months ago
Packing Messages as a Tool for Boosting the Performance of Total Ordering Protocols
This paper compares the throughput and latency of four protocols that provide total ordering. Two of these protocols are measured with and without message packing. We used a techn...
Roy Friedman, Robbert van Renesse