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» An Adaptive Supersampling Method
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ICIP
2007
IEEE
14 years 3 months ago
Mean-Shift Blob Tracking with Adaptive Feature Selection and Scale Adaptation
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we prop...
Dawei Liang, Qingming Huang, Shuqiang Jiang, Hongx...
NECO
2007
108views more  NECO 2007»
13 years 8 months ago
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
Eilif Mueller, Lars Buesing, Johannes Schemmel, Ka...
ISCAS
2006
IEEE
186views Hardware» more  ISCAS 2006»
14 years 2 months ago
Adaptive sliding mode control using simple adaptive control for SISO nonlinear systems
—Sliding mode control (SMC) has a strong capability of controlling nonlinear systems with uncertainties. However, it requires thorough knowledge of parameters and dynamics of the...
Muhammad Yasser, Agus Trisanto, Jianming Lu, Hiroo...
PVLDB
2011
12 years 11 months ago
Merging What's Cracked, Cracking What's Merged: Adaptive Indexing in Main-Memory Column-Stores
Adaptive indexing is characterized by the partial creation and refinement of the index as side effects of query execution. Dynamic or shifting workloads may benefit from prelimi...
Stratos Idreos, Stefan Manegold, Harumi A. Kuno, G...