Classification and Knowledge Organization, R?diger Klar; Otto Opitz
Автор: Hans-Hermann Bock; Peter Ihm Название: Classification, Data Analysis, and Knowledge Organization ISBN: 3540534830 ISBN-13(EAN): 9783540534839 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the 14th Annual Conference of the Gesellschaft fur Klassifikation e.V., University of Marburg March 12-14, 1990
Автор: Spiegler, Ran Название: Bounded Rationality and Industrial Organization ISBN: 0195398718 ISBN-13(EAN): 9780195398717 Издательство: Oxford Academ Цена: 11246.00 р. Наличие на складе: Поставка под заказ.
Описание: Grounded in key observations in consumer psychology, Bounded Rationality and Industrial Organization develops non-standard models of "boundedly rational" consumer behavior and embeds them into familiar models of markets.
Автор: Geoff Dougherty Название: Pattern Recognition and Classification ISBN: 1493953354 ISBN-13(EAN): 9781493953356 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume, both comprehensive and accessible, introduces all the key concepts in pattern recognition, and includes many examples and exercises that make it an ideal guide to an important methodology widely deployed in today`s ubiquitous automated systems.
Автор: Simone Borra; Roberto Rocci; Maurizio Vichi; Marti Название: Advances in Classification and Data Analysis ISBN: 3540414886 ISBN-13(EAN): 9783540414889 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents developments in classification and mulitivariate analysis. Topics that have been treated with considerable attention include cluster analysis, discriminant analysis, proximity structure analysis, multidimensional scaling, genetic algorithms, and neural networks.
Автор: Saman K. Halgamuge; Lipo Wang Название: Classification and Clustering for Knowledge Discovery ISBN: 3642065422 ISBN-13(EAN): 9783642065422 Издательство: Springer Рейтинг: Цена: 29209.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees.
Автор: Currall Steven Christian, Spiegler Ran Название: Bounded Rationality and Industrial Organization ISBN: 0199334269 ISBN-13(EAN): 9780199334261 Издательство: Oxford Academ Рейтинг: Цена: 6018.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Grounded in key observations in consumer psychology, Bounded Rationality and Industrial Organization develops non-standard models of "boundedly rational" consumer behavior and embeds them into familiar models of markets.
Автор: Xiang Xu; Xingkun Wu; Feng Lin Название: Cellular Image Classification ISBN: 3319476289 ISBN-13(EAN): 9783319476285 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book introduces new techniques for cellular image feature extraction, pattern recognition and classification. The authors use the antinuclear antibodies (ANAs) in patient serum as the subjects and the Indirect Immunofluorescence (IIF) technique as the imaging protocol to illustrate the applications of the described methods. Throughout the book, the authors provide evaluations for the proposed methods on two publicly available human epithelial (HEp-2) cell datasets: ICPR2012 dataset from the ICPR'12 HEp-2 cell classification contest and ICIP2013 training dataset from the ICIP'13 Competition on cells classification by fluorescent image analysis.
First, the reading of imaging results is significantly influenced by one’s qualification and reading systems, causing high intra- and inter-laboratory variance. The authors present a low-order LP21 fiber mode for optical single cell manipulation and imaging staining patterns of HEp-2 cells. A focused four-lobed mode distribution is stable and effective in optical tweezer applications, including selective cell pick-up, pairing, grouping or separation, as well as rotation of cell dimers and clusters. Both translational dragging force and rotational torque in the experiments are in good accordance with the theoretical model. With a simple all-fiber configuration, and low peak irradiation to targeted cells, instrumentation of this optical chuck technology will provide a powerful tool in the ANA-IIF laboratories. Chapters focus on the optical, mechanical and computing systems for the clinical trials. Computer programs for GUI and control of the optical tweezers are also discussed.
to more discriminative local distance vector by searching for local neighbors of the local feature in the class-specific manifolds. Encoding and pooling the local distance vectors leads to salient image representation. Combined with the traditional coding methods, this method achieves higher classification accuracy.
Then, a rotation invariant textural feature of Pairwise Local Ternary Patterns with Spatial Rotation Invariant (PLTP-SRI) is examined. It is invariant to image rotations, meanwhile it is robust to noise and weak illumination. By adding spatial pyramid structure, this method captures spatial layout information. While the proposed PLTP-SRI feature extracts local feature, the BoW framework builds a global image representation. It is reasonable to combine them together to achieve impressive classification performance, as the combined feature takes the advantages of the two kinds of features in different aspects.
Finally, the authors design a Co-occurrence Differential Texton (CoDT) feature to represent the local image patches of HEp-2 cells. The CoDT feature reduces the information loss by ignoring the quantization while it utilizes the spatial relations among the differential micro-texton feature. Thus it can increase the discriminative power. A generative model adaptively characterizes the CoDT feature space of the training data. Furthermore, exploiting a discriminant representation allows for HEp-2 cell images based on the adaptive partitioned feature space. Therefore, the resulting representation is adapted to the classification task. By cooperating with linear Support Vector Machine (SVM) classifier, this framework can exploit the advantages of both generative and discriminative approaches for cellular image classification.
The book is written for those researchers who would like to develop their own programs, and the working MatLab codes are included for all the important algorithms presented. It can also be used as a reference book for graduate students and senior undergraduates in the area of biomedical imaging, image feature extraction, pattern recognition an
Автор: Andrey V. Savchenko Название: Search Techniques in Intelligent Classification Systems ISBN: 3319305131 ISBN-13(EAN): 9783319305134 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
1.Intelligent Classification Systems.- 2. Statistical Classification of Audiovisual Data.- 3. Hierarchical Intelligent Classification Systems.- 4. Approximate Nearest Neighbor Search in Intelligent Classification Systems.- 5. Search in Voice Control Systems.- 6. Conclusion.
Автор: Otto Opitz; Berthold Lausen; R?diger Klar Название: Information and Classification ISBN: 3540567364 ISBN-13(EAN): 9783540567363 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In many fields of science and practice large amounts of dataand informationare collected for analyzing and visualizinglatent structures as orderings or classifications forexample. So, in the first sectionwe find papers on Classification Methods, FuzzyClassification, Multidimensional Scaling, DiscriminantAnalysis and Conceptual Analysis.
Автор: Ingo Balderjahn; Rudolf Mathar; Martin Schader Название: Classification, Data Analysis, and Data Highways ISBN: 3540639098 ISBN-13(EAN): 9783540639091 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents 43 articles dealing with models and methods of data analysis and classification, statistics and stochastics, information systems and WWW- and Internet-related topics as well as many applications.
Автор: Chikio Hayashi; Keiji Yajima; Hans H. Bock; Noboru Название: Data Science, Classification, and Related Methods ISBN: 4431702083 ISBN-13(EAN): 9784431702085 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains selected papers covering a wide range of topics, including theoretical and methodological advances relating to data gathering, classification and clustering, exploratory and multivariate data analysis, and knowledge seeking and discovery.
Описание: The present vol- ume, based mostly on his own work, is a milestone in the devel- opment of soft computing, integrating various disciplines from the fields of information science and engineering.
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