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Titlebook: Recognizing Patterns in Signals, Speech, Images, and Videos; ICPR 2010 Contents, Devrim ünay,Zehra ?ataltepe,Selim Aksoy Conference procee

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發(fā)表于 2025-3-21 18:34:44 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Recognizing Patterns in Signals, Speech, Images, and Videos
副標(biāo)題ICPR 2010 Contents,
編輯Devrim ünay,Zehra ?ataltepe,Selim Aksoy
視頻videohttp://file.papertrans.cn/825/824074/824074.mp4
概述High quality selected papers.Unique visibility.State of the art research
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Recognizing Patterns in Signals, Speech, Images, and Videos; ICPR 2010 Contents,  Devrim ünay,Zehra ?ataltepe,Selim Aksoy Conference procee
描述This book constitutes the refereed contest reports of the 20th International Conference on Pattern Recognition, ICPR 2010, held in Istanbul, Turkey, in August 2010. The 31 revised full papers presented were carefully reviewed and selected. The papers are organized in topical sections on BiHTR - Bi-modal handwritten Text Recognition, CAMCOM 2010 - Verification of Video Source Camera Competition, CDC - Classifier Domains of Competence, GEPR - Graph Embedding for Pattern Recognition, ImageCLEF@ICPR - Information Fusion Task, ImageCLEF@ICPR - Visual Concept Detection Task, ImageCLEF@ICPR - Robot Vision Task, MOBIO - Mobile Biometry Face and Speaker Verification Evaluation, PR in HIMA - Pattern Recognition in Histopathological Images, SDHA 2010 - Semantic Description of Human Activities.
出版日期Conference proceedings 2010
關(guān)鍵詞OCR; clustering; data mining; histograms; image mining; image retrieval; information retrieval; medical ima
版次1
doihttps://doi.org/10.1007/978-3-642-17711-8
isbn_softcover978-3-642-17710-1
isbn_ebook978-3-642-17711-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Berlin Heidelberg 2010
The information of publication is updating

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發(fā)表于 2025-3-21 23:27:11 | 只看該作者
The ImageCLEF Medical Retrieval Task at ICPR 2010 — Information Fusion to Combine Visual and Textualeval performance if combined effectively. Combining visual and textual runs is not trivial based on experience in ImageCLEF. The goal of the fusion challenge at ICPR is to encourage participants to combine visual and textual results to improve search performance. Participants were provided textual a
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發(fā)表于 2025-3-22 00:50:23 | 只看該作者
Information Fusion for Combining Visual and Textual Image Retrieval in ImageCLEF@ICPRmodality fusion. The logarithmic rank penalization shows to be the most stable normalization. The dark horse effect is in competition with the chorus effect and each of them can produce best fusion performance depending on the nature of the input data.
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發(fā)表于 2025-3-22 05:20:18 | 只看該作者
Overview of the Photo Annotation Task in ImageCLEF@ICPRformance for each image ranged between 59% and 100% with an average score of 85%. In comparison to the results achieved in ImageCLEF 2009, the detection performance increased for the concept-based evaluation by 2.2% EER and 2.5% AUC and showed a slight decrease for the example-based evaluation.
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Detection of Visual Concepts and Annotation of Images Using Ensembles of Trees for Hierarchical Multto annotate an image. Moreover, we constructed ensembles (random forests) of PCTs, to improve the predictive performance. We tested our system on the image database from the ImageCLEF@ICPR 2010 photo annotation task. The extensive experiments conducted on the benchmark database show that our system
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Robert P. W. Duin,Marco Loog,El?bieta P?kalska,David M. J. Taxrden im Rahmen der Energieerhaltung die physikalischen Begriffe der Arbeit, Energie und des Potenzials hergeleitet. Impulserhaltung wird am Beispiel von St??en zwischen K?rpern behandelt. Au?erdem wird die Drehimpulserhaltung eingeführt. Ein weiterer Abschnitt ist der Statik gewidmet, also der Situa
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Luiz Otávio Vilas Boas Oliveira,Isabela Neves Drummond bis 3.3 zun?chst um elastische Verformungen von festen K?rpern. Dann werden wir uns den Flüssigkeiten und Gasen (Fluiden) widmen. Hierbei behandeln wir zuerst die statischen Eigenschaften wie Druck, Auftrieb, Kompressibilit?t und Kr?fte an Grenzfl?chen, danach geht es um die dynamischen Eigenschaft
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