High-performance on-road vehicle detection with non-biased In this paper we propose a cascade classifier for high-performance on-road vehicle detection. The proposed system deliberately selects constituent weak classifiers that are expected to show good performance in real detection environments. The weak classifiers selected at a cascade stage using AdaBoost are assessed for their effectiveness in vehicle detection. By applying the selected weak
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US5605292A - Pulverizer mill high performance classifier A high performance classifier system for use in a pulverizer mill e.g. a mill used to crush large coal particles into small particles . The classifier system includes a cylindrical extension member with a roughened interior surface.
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UPSET and ANGRI : Breaking High Performance Image Classifiers In this paper targeted fooling of high performance image classifiers is achieved by developing two novel attack methods. The first method generates universal perturbations for target classes and
Building Bayesian Network Classifiers Using the HPBNET Procedure Bayesian network BN classifiers are one of the newest supervised learning algorithms available in SAS Enterprise Miner. The HP BN Classifier node is a high-performance data mining node that you can select from the HPDM toolbar; it uses the HPBNET procedure in SAS High-Performance Data Mining to learn a BN structure from a training data set.
eccCL: parallelized GPU implementation of Ensemble Classifier eccCL is a handy implementation of Classifier Chains on GPUs which is able to process up to over 25000 instances per second and thus can be used efficiently in high-throughput experiments.
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