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Bulunan: 76 Adet 0.025 sn
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Erişime Açık

Upgrade of the ALICE Experiment Letter Of Intent

KARASU UYSAL, Ayben | ALICE Collaboration

ALICE (A Large Ion Collider Experiment) is studying the physics of strongly interacting matter, and in particular the properties of the Quark–Gluon Plasma (QGP), using proton–proton, proton–nucleus and nucleus–nucleus collisions at the CERN LHC (Large Hadron Collider). The ALICE Collaboration is preparing a major upgrade of the experimental apparatus, planned for installation in the second long LHC shutdown in the years 2018–2019. These plans are presented in the ALICE Upgrade Letter of Intent, submitted to the LHCC (LHC experiments Committee) in September 2012. In order to fully exploit the p ...Daha fazlası

Erişime Açık

Hierarchical representation of video sequences for annotation

MENDİ, Engin

Video annotation is an important issue in video content management systems. Rapid growth of the digital video data has created a need for efficient and reasonable mechanisms that can ease the annotation process. In this paper, we propose a novel hierarchical clustering based system for video annotation. The proposed system generates a top-down hierarchy of the video streams using hierarchical k-means clustering. A tree-based structure is produced by dividing the video recursively into sub-groups, each of which consists of similar content. Based on the visual features, each node of the tree is ...Daha fazlası

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Tagging accuracy analysis on part-of-speech taggers

YUMUŞAK, Semih | DOĞDU, Erdoğan | KODAZ, Halife

Part of Speech (POS) Tagging can be applied by several tools and several programming languages. This work focuses on the Natural Language Toolkit (NLTK) library in the Python environment and the gold standard corpora installable. The corpora and tagging methods are analyzed and compared by using the Python language. Different taggers are analyzed according to their tagging accuracies with data from three different corpora. In this study, we have analyzed Brown, Penn Treebank and NPS Chat corpuses. The taggers we have used for the analysis are; default tagger, regex tagger, n-gram taggers. We h ...Daha fazlası

Erişime Açık

A 3D face animation system for mobile devices

MENDİ, Engin

In this paper, we present a 3D face animation system rendered on mobile devices. The system automatically creates realistic facial animation from text input with emotion tags. First, an input string is converted into synthetic voice and phonetic information. Then, 3D head model performs facial movements synchronized to the speech. The proposed system offers an affordable quick solution for applications that require virtual actors speaking text in which human-machine interfaces on mobile devices can profit.

6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve cerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.

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