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» An Experimental Study on Pedestrian Classification
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TCSV
2008
313views more  TCSV 2008»
13 years 9 months ago
Fast Pedestrian Detection Using a Cascade of Boosted Covariance Features
Efficiently and accurately detecting pedestrians plays a very important role in many computer vision applications such as video surveillance and smart cars. In order to find the ri...
Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhan...
NN
2008
Springer
146views Neural Networks» more  NN 2008»
13 years 9 months ago
Clustering and co-evolution to construct neural network ensembles: An experimental study
This paper introduces an approach called Clustering and Co-evolution to Construct Neural Network Ensembles (CONE). This approach creates neural network ensembles in an innovative ...
Fernanda L. Minku, Teresa Bernarda Ludermir
ICML
2005
IEEE
14 years 10 months ago
Experimental comparison between bagging and Monte Carlo ensemble classification
Properties of ensemble classification can be studied using the framework of Monte Carlo stochastic algorithms. Within this framework it is also possible to define a new ensemble c...
Roberto Esposito, Lorenza Saitta
BMCBI
2007
128views more  BMCBI 2007»
13 years 10 months ago
Compression-based classification of biological sequences and structures via the Universal Similarity Metric: experimental assess
Background: Similarity of sequences is a key mathematical notion for Classification and Phylogenetic studies in Biology. It is currently primarily handled using alignments. Howeve...
Paolo Ferragina, Raffaele Giancarlo, Valentina Gre...
PSYCHNOLOGY
2008
74views more  PSYCHNOLOGY 2008»
13 years 9 months ago
The Use of Virtual and Mixed Reality Environments for Urban Behavioural Studies
Virtual/mixed reality 3D models of real-world environments can be used to run behavioural and other experiments with real human subjects, replacing the traditional approach where ...
Andrew J. Park, Thomas W. Calvert, Patricia L. Bra...