Titlebook: Computational Intelligence; 9th International Jo Christophe Sabourin,Juan Julian Merelo,Kevin Warwi Conference proceedings 2019 Springer Na

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Efficient Approaches for Solving the Large-Scale ,-Medoids Problem: Towards Structured Data,cognition. Moreover, in the Big Data era, the?possibility of clustering huge?amount of (structured) data challenges computer science and pattern recognition researchers alike. The aim of this paper is to bridge the gap on large-scale structured data clustering. Specifically, following a previous wor

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Automated Diagnostic Model Based on Isoline Map Analysis of Myocardial Tissue Structure,le by other symptoms. The most similar existing methods for automatic diagnostics by myocardium?analysis in CT images are based only on intensity histogram features. In this work we describe the proposed method that uses isoline map-based features. We use real MSCT images with manually segmented LV

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Framework for Discrete-Time Model Reference Adaptive Control of Weakly Nonlinear Systems with HONUsriven controller learning when only measured data are known about the plant. We recall recently introduced conjugate gradient batch learning for weakly nonlinear plant identification with HONUs and we compare its performance to classical Levenberg-Marquard (LM). Further, we recall recursive least sq

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Environment Scene Classification Based on Images Using Bag-of-Words,s, which is a sparse histogram over a dictionary of visual features extracted from an image. We analyse five feature detectors (Scale Invasive Feature Transform (SIFT), Speed-Up Robust Features (SURF), Features from Accelerated Segment Test (FAST), Maximally Stable Extremal Regions (MSER), and grid-

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Defuzzification of a Fuzzy p-value by the Signed Distance: Application on Real Data,es have a different decision rule in terms of interpretation, the decisions made are by far the same. In this perspective, we can state that the fuzzy testing procedure can be seen as a generalization of the classical one.