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Verlag: Edições Nosso Conhecimento, 2025
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Sprache: Portugiesisch
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Verlag: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330326840 ISBN 13: 9783330326842
Sprache: Englisch
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Verlag: LAP LAMBERT Academic Publishing Jan 2011, 2011
ISBN 10: 3843391157 ISBN 13: 9783843391153
Sprache: Englisch
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Taschenbuch. Zustand: Neu. Neuware -In Computer Vision,Image Processing, Artificial Intelligence and Neural Networks object recognition is one of the most successful applications of image or object analysis and understanding.The recognition system typically involves some sort of sensor,the use of a model database in which all the objects ¿models¿ representations are saved,and a decision-making ability.When a sensor views an object the digitized image is processed so as to represent it in the same way as the models are represented in the databases.Then a recognition algorithm tries to find the model to which the object best matches.For the view-based recognition, the representations take into account the appearance of the object. To achieve 3D Object recognition(3DOR) the pose of objects are also saved in the database.In general two 3DOR techniques. They are Geometric feature-based approach and Appearance- based approach.The geometric feature-based approach uses properties of shape of object i.e. lines, curves,and vertices for object recognition descriptions.But appearance-based 3DOR is the combined effects of objects shape, reflectance properties,pose and the illumination.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch.
Verlag: LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 3330326840 ISBN 13: 9783330326842
Sprache: Englisch
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Taschenbuch. Zustand: Neu. Neuware -Outlier detection system discovers the novel or rare events, anomalies, vicious actions, exceptional phenomena. It is mandatory to find these anomalies in data mining because the presence of these objects usually makes the database inefficient. An outlier is an observation which deviates so much from the other observations as to arouse suspicions that it was generated by a different mechanism. Finding objects that do not conform to well-defined notions of expected behaviour in a dataset is called outlier detection. Outlier detection is a pre-processing step for locating these non-conforming objects in data sets. This outlier detection is a challenging process in large scale database since it has high dimensional data with low anomalous rate. Here outliers are defined formally and the optimized ways to detect outliers is also proposed here. Optimization in outlier detection is achieved by a new concept of holoentropy which combines entropy and total correlation. It is a more effective and efficient practical phenomenon in outlier detection methods. It can be used effectively to deal with both large and high-dimensional datasets.Books on Demand GmbH, Überseering 33, 22297 Hamburg 104 pp. Englisch.
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Zustand: New. First edition Includes bibliographical references and index.
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Verlag: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3843391157 ISBN 13: 9783843391153
Sprache: Englisch
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Taschenbuch. Zustand: Neu. Appearance-based 3-D Object Recognition and Pose Estimation | Using PCA, ICA and SVD-PCA Techniques | Chiranji Lal Chowdhary | Taschenbuch | 76 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783843391153 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.