Titlebook: Machine Learning Techniques for Multimedia; Case Studies on Orga Matthieu Cord,Pádraig Cunningham Book 2008 Springer-Verlag Berlin Heidelbe

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书目名称Machine Learning Techniques for Multimedia读者反馈学科排名

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Supervised Learningprocessing of multimedia content. The defining characteristic of supervised learning is the availability of annotated training data. The name invokes the idea of a ‘supervisor’ that instructs the learning system on the labels to associate with training examples. Typically these labels are class labe

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LUDE

Commonwealth

Online Content-Based Image Retrieval Using Active Learning, many difficulties arise. Learning is definitively considered as a very interesting issue to boost the efficiency of information retrieval systems. Different strategies, such as offline supervised learning or semi-supervised learning, have been proposed. Active learning methods have been considered

合法

Conservative Learning for Object Detectorsing a classifier and to combine the power of a discriminative classifier with the robustness of a generative model. Starting with motion detection an initial set of positive examples is obtained by analyzing the geometry (aspect ratio) of the motion blobs. Using these samples a discriminative classi

厌烦

ALERT

Mental Search in Image Databases: Implicit Versus Explicit Content Queryexample at hand to start the search. In this chapter, we review different methods that implement this paradigm, originating from both the content-based image retrieval and the object recognition fields. In particular, we present two complementary methods. The first one allows the user to reach the t

Genteel

Combining Textual and Visual Information for Semantic Labeling of Images and Videos human effort required for manual labeling used in a supervised setting. Recently, semi-supervised techniques which make use of annotated image and video collections are proposed as an alternative to reduce the human effort. In this direction, different techniques, which are mostly adapted from info

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