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» Robustness of Classifiers to Changing Environments
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ICIP
2010
IEEE
13 years 5 months ago
Robust and efficient background subtraction by quadratic polynomial fitting
We present a background subtraction algorithm aimed at efciency and robustness to common sources of disturbance such as illumination changes, camera gain and exposure variations, ...
Alessandro Lanza, Federico Tombari, Luigi di Stefa...
NIPS
2007
13 years 9 months ago
Learning to classify complex patterns using a VLSI network of spiking neurons
We propose a compact, low power VLSI network of spiking neurons which can learn to classify complex patterns of mean firing rates on–line and in real–time. The network of int...
Srinjoy Mitra, Giacomo Indiveri, Stefano Fusi
IVC
2008
69views more  IVC 2008»
13 years 7 months ago
Unsupervised texture classification: Automatically discover and classify texture patterns
In this paper, we present a novel approach to classify texture collections. This approach does not require experts to provide annotated training set. Given the image collection, w...
Lei Qin, Qingfang Zheng, Shuqiang Jiang, Qingming ...
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 8 months ago
Multiobjective robustness for portfolio optimization in volatile environments
Multiobjective methods are ideal for evolving a set of portfolio optimisation solutions that span a range from highreturn/high-risk to low-return/low-risk, and an investor can cho...
Ghada Hassan, Christopher D. Clack
TPDS
2010
83views more  TPDS 2010»
13 years 6 months ago
Robust Load Delegation in Service Grid Environments
—In this paper, we address the problem of finding well-performing workload exchange policies for decentralized Computational Grids using an Evolutionary Fuzzy System. To this end...
Alexander Fölling, Christian Grimme, Joachim ...