The proceedings contain 32 papers. The special focus in this conference is on Computational Issues, Object Recognition, Pattern Recognition and Applications. The topics include: Predicting signal peptides with support...
ISBN:
(纸本)354044016X
The proceedings contain 32 papers. The special focus in this conference is on Computational Issues, Object Recognition, Pattern Recognition and Applications. The topics include: Predicting signal peptides with support vector machines;scaling large learning problems with hard parallel mixtures;on the generalization of kernel machines;kernel whitening for one-class classification;support vector machines with embedded reject option;combining color and shape information for appearance-based object recognition using ultrametric spin glass-Markov random fields;maintenance training of electric power facilities using object recognition by SVM;advances in component-based face detection;support vector learning for gender classification using audio and visual cues;analysis of nonstationary time series using support vector machines;anomaly detection enhanced classification in computer intrusion detection;sparse correlation kernel analysis and evolutionary algorithm-based modeling of the sensory activity within the rat’s barrel cortex;applications of support vector machines for pattern recognition;typhoon analysis and data mining with kernel methods;support vector features and the role of dimensionality in face authentication;face detection based on cost-sensitive support vector machines;real-time pedestrian detection using support vector machines;a hybrid hmm/SVM approach to sequence recognition;an application to license plate localization;support vector machines in relational databases;multi-class SVM classifier based on pairwise coupling;face recognition using component-based SVM classification and morphable models;optimization of the SVM kernels using an empirical error minimization scheme and a comparative study of polynomial kernel SVM applied to appearance-based object recognition.
Predictive models have been widely used long before the development of the new field that we call data mining. Expanding application demand for data mining of ever increasing data warehouses, and the need for understa...
详细信息
This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queuein...
详细信息
ISBN:
(数字)9783031400551
ISBN:
(纸本)9783031400544;9783031400575
This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, and the interplay between statistical inference, machinelearningmethods and related applications. The refereed contributions originate from the 10th internationalworkshop on Simulation and statistics, Simstat 2019, which was held in Salzburg, Austria, September 2–6, 2019, and were either presented at the conference or developed afterwards, relating closely to the topics of the workshop. The book is intended for statisticians and Ph.D. students who seek current developments and applications in the field.
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