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Titlebook: Structural, Syntactic, and Statistical Pattern Recognition; Joint IAPR Internati Niels Vitoria Lobo,Takis Kasparis,Marco Loog Conference pr

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發(fā)表于 2025-3-21 18:57:24 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Structural, Syntactic, and Statistical Pattern Recognition
副標(biāo)題Joint IAPR Internati
編輯Niels Vitoria Lobo,Takis Kasparis,Marco Loog
視頻videohttp://file.papertrans.cn/881/880091/880091.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Structural, Syntactic, and Statistical Pattern Recognition; Joint IAPR Internati Niels Vitoria Lobo,Takis Kasparis,Marco Loog Conference pr
描述This volume in the Springer Lecture Notes in Computer Science (LNCS) series contains 98 papers presented at the S+SSPR 2008 workshops. S+SSPR 2008 was the sixth time that the SPR and SSPR workshops organized by Technical Committees, TC1 and TC2, of the International Association for Pattern Rec- nition (IAPR) wereheld as joint workshops. S+SSPR 2008was held in Orlando, Florida, the family entertainment capital of the world, on the beautiful campus of the University of Central Florida, one of the up and coming metropolitan universities in the USA. S+SSPR 2008 was held during December 4–6, 2008 only a few days before the 19th International Conference on Pattern Recog- tion(ICPR2008),whichwasheldin Tampa,onlytwo hoursawayfromOrlando, thus giving the opportunity of both conferences to attendees to enjoy the many attractions o?ered by two neighboring cities in the state of Florida. SPR 2008 and SSPR 2008 received a total of 175 paper submissions from many di?erent countries around the world,thus giving the workshop an int- national clout, as was the case for past workshops. This volume contains 98 accepted papers: 56 for oral presentations and 42 for poster presentations. In addition to
出版日期Conference proceedings 2008
關(guān)鍵詞3D object classification; audio content mining; bayesian networks; biometrics; character recognition; cla
版次1
doihttps://doi.org/10.1007/978-3-540-89689-0
isbn_softcover978-3-540-89688-3
isbn_ebook978-3-540-89689-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Germany, part of Springer Nature 2008
The information of publication is updating

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發(fā)表于 2025-3-21 22:58:31 | 只看該作者
https://doi.org/10.1007/978-3-540-89689-03D object classification; audio content mining; bayesian networks; biometrics; character recognition; cla
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978-3-540-89688-3Springer-Verlag GmbH Germany, part of Springer Nature 2008
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Structural, Syntactic, and Statistical Pattern Recognition978-3-540-89689-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Tin Kam Hoschung und ihre praktisch-politische Bedeutung für die Bildungsplanung. Mit diesen allgemeinen Orientierungspunkten standen uns weitere Relevanzkriterien zur Verfügung, die in dem oben entfalteten theoretischen Bezugsrahmen bereits angelegt und von dort her begründet sind.
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Ludmila I. Kuncheva,Indre Zliobaite Variable berücksichtigt werden; letzteres gilt z.B. für die Qualit?tsfaktoren “Bef?rderungsgeschwindigkeit”, “Netzdichte”, “Haltestellenabstand” und “H?ufigkeit”, deren individuelle Realisierungsgrade sich in unterschiedlichem Ausma? gegenseitig beeinflussen.
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Structural, Syntactic, and Statistical Pattern RecognitionJoint IAPR Internati
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發(fā)表于 2025-3-23 06:53:38 | 只看該作者
Linear Discriminant Classifier (LDC) for Streaming Data with Concept Drifttate the optimal window size for the case of LDC applied to two Gaussian classes and a sudden change in the form of rotation and translation of the feature space. Simulation results are included in order to investigate the sensitivity of the theoretical results to violation of the underlying assumpt
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