net/21.11116/0000-0010-6153-3 %R 10.22028/D291-43058 %U urn:nbn:de:bsz:291--ds-430580 %F OTHER: hdl:20.500.11880/38841 %I Universität des Saarlandes %C Saarbrücken %D 2024 %P XI, 128 p. %V phd [...] sulb.uni-saarland.de/handle/20.500.11880/38841 DOI PuRe BibTeX fulltext version 3 Conference paper D5 S. Ghosh, S. Razniewski, D. Graux, and G. Weikum “CardiO: Predicting Cardinality from Online Sources,” [...] Answering over Heterogeneous Sources : %G eng %U http://hdl.handle.net/21.11116/0000-000E-7D1D-7 %R 10.1145/3589334.3645547 %D 2024 %8 13.05.2024 %B ACM Web Conference %Z date of event: 2024-05-13 - 2024-05-17
10.1039/d3dt04178f %7 2024 %D 2024 %J Dalton Transactions %O Dalton Trans. %V 53 %N 8 %& 3534 %P 3534 - 3547 %I Royal Society of Chemistry %C Cambridge, UK %@ false DOI PuRe BibTeX 2 Article D4 U. Çoğalan [...] 010-6BE3-6 %R 10.1007/s00371-024-03707-6 %7 2024-12-10 %D 2024 %8 10.12.2024 %J The Visual Computer %I Springer International %C Berlin %@ false DOI PuRe BibTeX publisher version 4 Article D4 D6 F. Mujkanovic [...] - Aug 1 DOI PuRe BibTeX publisher version Conference Paper 9 Conference paper D4 D6 J. K. Didion, K. Wolski, D. Wittchen, D. Coyle, T. Leimkühler, and P. Strohmeier “Who did it? How User Agency is influenced
11116/0000-000D-3FF3-B %R 10.1007/s00453-023-01125-z %7 2023-05-06 %D 2024 %J Algorithmica %V 86 %& 735 %P 735 - 756 %I Springer %C New York, NY %@ false DOI PuRe BibTeX publisher version 11 Paper D1 R. Becker [...] Information Processing Systems 37 PuRe BibTeX pre-print version 9 Paper D1 S. Bandyapadhyay, W. Lochet, D. Lokshtanov, D. Marx, P. Misra, D. Neuen, S. Saurabh, P. Tale, and J. Xue “Robust Contraction Decomposition [...] net/21.11116/0000-000E-0D73-3 %R 10.1007/s00453-023-01186-0 %7 2023-11-06 %D 2024 %J Algorithmica %V 86 %& 1031 %P 1031 - 1056 %I Springer %C New York, NY %@ false %U https://rdcu.be/d0Kn4 DOI PuRe BibTeX
request] Software Semantic relatedness from Language resource For now see our previous release at www.d2.mpi-inf.mpg.de/nlp4vision. We will shortly add an updated version. Large Scale Learning In our recent [...] ( training , validation , test ) rgSift ( training , validation ) Groundtruth labels groundtruth (0.3 MB) zero shot class split known (800) unkown (200) Known Issues black-white images as we use rgSift
occlusion, 3. reflection on glasses and 4. strong makeup. The third row shows croped images around the pupil region under challenging conditions: 1. reflection on the pupil, 2. self occluded, 3.strong sunlight [...] capture high frame rate scene videos, we replaced the original scene camera with a PointGrey Chameleon3 USB3.0 camera recording at up to 149 Hz. The hardware set up is shown in Figure 2a and Figure 2b. It allowed [...] Keyboard Deep Gaze Pooling: Inferring and Reconstructing Search Intent From Human Fixations 3D Gaze Estimation from 2D Pupil Positions on Monocular Head-Mounted Eye Trackers Prediction of Search Targets From
main navigation Institute D1 Algorithms & Complexity D2 Computer Vision and Machine Learning D3 Internet Architecture D4 Computer Graphics D5 Databases and Information Systems D6 Visual Computing and Artificial [...] networking Departments D1 Algorithms & Complexity D2 Computer Vision and Machine Learning D3 Internet Architecture D4 Computer Graphics D5 Databases and Information Systems D6 Visual Computing and Artificial [...] Assistant (m/f/d) for 6G-RIC project Lise Meitner Award Postdoctoral Fellowship Joint Research Fellowships with the Simons Institute Hiring: CS/EE postdoc (m/f/d) & PhD positions (m/f/d) on optical networking
city of Washington D.C., which is the capital of the United States." then the goal is to extract the following pairs: instanceOf Mickey M. Mouse president Washington D.C. city Washington D.C. captial This [...] listed in the examples and a "wrong" birthdate is a counterexample. How LEILA works LEILA works in 3 phases: It finds all sentences in which an example pair appears. It collects the pattern in which the [...] Javatools K2 Know2Look Le Monde LEILA NAGA patty PATTY PRAVDA PROSPERA Quantity Search Qsearch QuTE QL RDF-3X RuLES SOFIE STICS TimeSEA UWN Watermarking YAGO Overview Demo Downloads Statistics Publications Linking
knowledge base recall, including 1) counting quantifier extraction from text, 2) relative recall measures, 3) rule mining and 4) logical foundations towards relative recall and informativeness. Survey papers Simon [...] Knowledge Base Properties , ADMA, 2017 [pdf] Tools Relative completeness indicator for Wikidata ( Recoin ) 3. Completeness rule mining In this work, we investigate different signals to identify the areas where [...] Other topics Commonsense knowledge base construction Taxonomy induction in fiction People involved at D5 Weikum, Gerhard Singhania, Sneha External collaborators Fariz Darari, Universitas Indonesia Werner
