Titlebook: Information Theory in Computer Vision and Pattern Recognition; Francisco Escolano,Pablo Suau,Boyán Bonev Textbook 2009 Springer-Verlag Lon

粗野

Image and Pattern Clustering, clustering algorithm is the similarity measure. In this regard information theory offers a wide range of measures (not always metrics) which inspire clustering algorithms through their optimization. In addition, information theory also provides both theoretical frameworks and principles to formulat

吸氣

Feature Selection and Transformation, step is the feature extraction. In image classification, for example, the feature set commonly consists of gradients, salient points, SIFT features, etc. High-level features can also be extracted. For example, the detection of the number of faces and their positions, the detection of walls or surfa

Nuance

Classifier Design,, it yields large classification errors with test data. This is why the typical optimization of this kind of classifiers is some type of pruning. In this chapter, however, we introduce other alternatives. After reminding the basics of the incremental (local) approach to grow trees, we introduce a gl

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Counteract

evolutionary history of plant life, the relationships between different groups of plants and, maybe the most important, how our world has changed through time. Pollen analysis (palynology) is one of the most important and efficient scientific method used in Quaternary palaeoecology and palaeoclimato

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archetype

s because they involve . arguments about politics, identity, rights, status differentiation, equality and inequality. The notion of citizenship goes back at least to ancient Greece. The Athenian city-state males who populate Aristotle’s . are distinctive citizens who share a privileged status. They

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