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We found 343 hits for your search of 'Multimodal Computing and Interaction'.
  1. Bernt Schiele

    /departments/computer-vision-and-machine-learning/people/bernt-schiele

    infer higher-level information from noisy sensor data and enable to deal with the large-scale nature of current and future multimodal databases and sensor-streams. Education PhD: Docteur de l'Institut [...] is a fundamental problem in computer science. Scientific challenges cover the entire pipeline from single-sensor processing, over spatial and temporal fusion of multiple and divergent sensor modalities [...] access and truly understand multi-sensory data both for online use as well as for large-scale databases. The group currently focuses on two main areas of the broader field, namely computer vision and multimodal

  2. Fabio Galasso

    /departments/computer-vision-and-machine-learning/people/alumni-and-former-members/fabio-galasso

    al Research Associate in the Computer Vision and Multimodal Computing Department, Max Planck Institute for Informatics, Saarbruecken. Fabio read Electrical Engineering and Signal Processing for Teleco [...] Research Departments Computer Vision and Machine Learning People Alumni and Former Members Fabio Galasso Fabio Galasso (Post-Doc) Dr. Fabio Galasso Address Max-Planck-Institut für Informatik Saarland [...] Before and after his Master's Degree, he gained experience as a Researcher in the Ericsson Laboratories and as a Project Engineer in Telecom Italia. Fabio Galasso is passionate about new ideas and transforming

  3. PRAVDA

    /departments/databases-and-information-systems/research/yago-naga/pravda

    , Marc Spaniol and Gerhard Weikum : Coupling Label Propagation and Constraints for Temporal Fact Extraction Proceedings of the 50 th Annual Meeting of the Association for Computational Linguistics ( ACL [...] label propagation, to extract both base facts and temporal facts. Dataset for ACL 2012: The corpus can be downloaded here: corpus.tar.gz . The extracted facts and the evaluation results reported in the experiments [...] Zhaochun Ren, Marc Spaniol, Gerhard Weikum PRAVDA-live: Interactive Knowledge Harvesting Proceedings of the 21 th ACM Conference on Information and Knowledge Management ( CIKM 2012 ), Maui, Hawaii, US, October

  4. HYENA

    /departments/databases-and-information-systems/research/yago-naga/hyena

    in its top level, and 9 levels in its deepts part. HYENA was trained on 1.6 million instances extracted from 50,000 randomly selected Wikipedia articles. HYENA uses neighboring words and bigrams, part-of-speech [...] <br/> You can browse our hierarchy in the pdf file below or using our Interactive Browser . Properities of the dataset used to train and evaluate HYENA data property training testing # of articles 50,000 [...] Research Departments Databases and Information Systems Research YAGO-NAGA HYENA HYENA: Hierarchical Type Classification for Entity Names HYENA is a multi-label classifier for entity types based on hierarchical

  5. K2

    /departments/databases-and-information-systems/research/yago-naga/k2

    Gerhard Weikum . Gathering and Ranking Photos of Named Entities with High Precision, High Recall, and Diversity ( PDF ) In: Proc. Third ACM International Conference on Web Search and Data Mining (WSDM 2010) [...] Departments Databases and Information Systems Research YAGO-NAGA K2 K2: Knowledge Kaleidoscope K2 is a framework for finding images of named entities. With the proliferation of photo and video footage on the [...] such as notable computer scientists or regionally interesting churches. Querying the entity names in image search engines yields large candidate lists, but they often have low precision and unsatisfactory

  6. Information to Wisdom: Commonsense Knowledge Extraction and Compilation

    /commonsense-tutorial-wsdm-2021

    simple and performant baseline for vision and language. CoRR, abs/1908.03557, 2019. [29] Zhenhui Li, Huaxiu Yao, and Fenglong Ma. Learning with small data. In WSDM, 2020. [30] Hongyu Lin, Le Sun, and Xianpei [...] Databases and Information Systems Research Commonsense Knowledge Information to Wisdom: Commonsense Knowledge Extraction and Compilation Information to Wisdom: Commonsense Knowledge Extraction and Compilation [...] commonsense knowledge (CSK). We cover text-extraction-based, multi-modal and Transformer-based techniques, with special focus on the issues of web search and ranking, as of relevance to the WSDM community. Outline

  7. YAGO-NAGA

    /departments/databases-and-information-systems/research/yago-naga

    classes, concepts and quantities in ad-hoc tables and their surrounding contexts. more Espresso Computation of semantically meaningful substructures from knowledge graphs. more Fiction and Fantasy The long [...] Theobald and Gerhard Weikum "Scalable Knowledge Harvesting with High Precision and High Recall" ( pdf ) 4th ACM International Conference on Web Search and Data Mining(WSDM 2011) Martin Theobald and Gerhard [...] entities and facts about their relationships, from Wikipedia and WordNet with careful integration of these two sources. The resulting knowledge base, coined YAGO, has very high precision and is freely

  8. Data Networks - Summer 2023

    /departments/inet/teaching/data-networks-lecture-summer-2023

    s, protocol specifications, and verification techniques – in the context of other specializations in computer science, from databases, to distributed systems, and computer security. Overview Lecturer Anja [...] UDP). By taking a comprehensive look at the interactions between these protocols, you attain the ability to reason on the principles of computer networks, and apply the fundamentals of the area – including [...] official announcement will be given during the lecture and repeated in the tutorials. Literature (non-compulsory) James F. Kurose and Keith W. Ross. Computer Networking: A Top-Down Approach . Addison-Wesley

  9. Data Networks - Summer 2021

    /departments/inet/teaching/data-networks-lecture-summer-2021

    official announcement will be given during the lecture and repeated in the tutorials. Literature (non-compulsory) James F. Kurose and Keith W. Ross. Computer Networking: A Top-Down Approach . Addison-Wesley [...] 2002. (deutsch) Larry L. Peterson and Bruce S. Davie. Computer Networks: A Systems Approach. Morgan Kaufmann, fourth edition, 2007. (english) Andrew S. Tanenbaum. Computer Networks . Prentice Hall Professional [...] down to the network layer (IP). Lastly, we will examine the interactions between the protocols. We further explain the principles of computer networks based on the fundamentals of the area, including network

  10. Data Networks - Summer 2022

    /departments/inet/teaching/data-networks-lecture-summer-2022

    down to the network layer (IP). Lastly, we will examine the interactions between the protocols. We further explain the principles of computer networks based on the fundamentals of the area, including network [...] the internet including the basics of internet communication. We will start at the application layer and investigate services like web (HTTP), mail (SMTP, POP, IMAP), domain name systems (DNS), or routing [...] algorithms, advanced network architectures, network simulations, measurements, protocol specifications, and verification techniques. This course is worth 9 LP/ECTS points. In compliance with the current COVID-19