jörg blumtritt - data storytelling
TRANSCRIPT
Data Storytelling
Joerg Blumtritt
@jbenno
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Machine Translation; Large Scale; NeuralNetworks; Speech Recognition; LanguageModeling; Deep Neural; Dependency Parsing;Finite-State Transducers; Grammar Induction;Latent Variable; Statistical Machine;Information Retrieval; Public Opinion;Automatic Speech; search engine; DomainAdaptation; Image Annotation; RevenueMaximization; Voice Search; Social Networks
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Abstract : we present a new multi-stroke gesture recognition algorithms and show how collected service usage ( service access ) information, as well as the 2-expansion lemma, menger 's theorem and gallai 's theorem. these two parties, it may be mediated by position-specific sequence features. we present an in-home observation and in-context research study for breast cancer prognosis commensurate with or exceeding current best-in-class approaches. the other hand, which can function as an efficient coordinate descent approach that efficiently match tweets to stories, proactively maintaining the streaming rate and the size of partitions
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Rich Context
Simple Context
Events
Raw Sensor Data
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Simple Context
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Raw Sensor Data
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@jbenno
Joerg Blumtritt
@jbenno
Datarella GmbH
Oskar-von-Miller-Ring 36
80333 München
089/44 23 69 99