Search

We found 232 hits for your search of 'c'"'.
  1. Structural Variation in Genomes

    /news/spotlight-articles/bioinformatics/structural-variation-in-genomes

    its constituting bases adenine (A), cytosine (C), guanine (G), and thymine (T). In this sense, a chromosome can be viewed as a sequence of the letters A, C, G, and T. Likewise, we can represent a genome

  2. Energy Efficient Algorithms

    /news/spotlight-articles/optimization/energy-efficient-algorithms

    our algorithm is to divide each program into smaller, unsplittable subprograms and identify a specifi c set of orderings in which these subprograms could potentially be processed. We prove that one of these

  3. Eye-Based Human-Computer Interaction

    /news/spotlight-articles/multimodal-information-visualization/eye-based-human-computer-interaction

    automatic analysis and modeling that are able to cope with the large variability and person-specifi c characteristics in human visual behaviour, and 3) using the information extracted from such behaviour

  4. Philipp Müller

    /departments/computer-vision-and-machine-learning/people/alumni-and-former-members/philipp-mueller

    %B ACM Symposium on Eye Tracking Research & Applications %Z date of event: 2020-06-02 - 2020-06-05 %C Stuttgart, Germany %B Proceedings ETRA 2020 Full Papers %E Bulling, Andreas; Huckauf, Anke %Z sequence [...] 2992 %U nbn:de:bsz:291--ds-329923 %F OTHER: 20.500.11880/30503 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2020 %P 224 p. %V phd %9 phd %U https://publikationen.sulb.uni-saarland.de/handle/20 [...] 2019 %B International Conference on Multimodal Interaction %Z date of event: 2019-10-14 - 2019-10-18 %C Suzhou, China %X Automatic detection of emergent leaders in small groups from nonverbal<br>behaviour

  5. Eldar Insafutdinov

    /departments/computer-vision-and-machine-learning/people/alumni-and-former-members/eldar-insafutdinov

    net/21.11116/0000-0000-CA48-C %R 10.1109/CVPR.2018.00542 %D 2018 %B 31st IEEE Conference on Computer Vision and Pattern Recognition %Z date of event: 2018-06-18 - 2018-06-22 %C Salt Lake City, UT, USA %B [...] net/11858/00-001M-0000-002C-1867-1 %R 10.1109/CVPR.2017.142 %D 2017 %B 30th IEEE Conference on Computer Vision and Pattern Recognition %Z date of event: 2017-07-21 - 2017-07-26 %C Honolulu, HI, USA %B 30th [...] 978-1-4673-8852-8 PDF DOI PuRe BibTeX 8 Article D4 D2 H. Rhodin, C. Richardt, D. Casas, E. Insafutdinov, M. Shafiei, H.-P. Seidel, B. Schiele, and C. Theobalt “EgoCap: Egocentric Marker-less Motion Capture with

  6. (Hi)Story

    /departments/automation-of-logic/software/spass-workbench/history

    Bhattarai 2009 - 2011 cleaned our code for 64-Bit, in particular removed warnings and adjusted the code to C standards. Martin Bromberger 2014 - is developing efficient arithmetic constraint solvers. Dominik Wagner

  7. Publications

    /departments/automation-of-logic/software/spass-workbench/classic-spass-theorem-prover/publications

    com Fietzke, A. and Weidenbach, C., 2008, Labelled Splitting in 4th International Joint Conference on Automated Reasoning, IJCAR 2008, LNCS 5195, pp. 459-474. Weidenbach, C., Wischnewski, P., 2008, Contextual [...] SPASS Workbench Classic SPASS Theorem Prover Publications Publications related to SPASS Weidenbach C., Dimova D., Fietzke A., Kumar R., Suda M. and Wischnewski P., 2009, SPASS Version 3.5. in 22nd Int

  8. Prototypes and Experiments

    /departments/automation-of-logic/software/spass-workbench/classic-spass-theorem-prover/prototypes-and-experiments

    YAGO++ ( yago-y2.tgz 364MB). The SUMO-Y2 inconsistent ( sumo-i-y2.tgz 6MB) and consistent core ( sumo-c-y2.tgz 6MB). The CYC-Y2 (still) inconsisten core ( cyc-y2.tgz 48MB). A ( SPASS-Y2-Scripts.tgz 518B)

  9. Tutorial

    /departments/automation-of-logic/software/spass-workbench/classic-spass-theorem-prover/tutorial

    Axiom clauses: 2 Conjecture clauses: 1 Inferences: IEmS ISoR IORe Reductions: RFClR RBClR RObv RUnC RTaut RSST RSSi RFSub RBSub RCon Extras : Input Saturation, Always Selection, No Splitting, Full Reduction [...] information SPASS decides to use the settings Inferences: IEmS ISoR IORe Reductions: RFClR RBClR RObv RUnC RTaut RSST RSSi RFSub RBSub RCon Extras : Input Saturation, Always Selection, No Splitting, Full Reduction [...] are forward and backward clause reduction (RFClR RBClR), obvious reductions (RObv), unit conflict (RUnC), syntactic tautology deletion (RTaut), static soft typing (RSST), sort simplification (RSSi), forward

  10. Labelled Pupils in the Wild (LPW)

    /departments/computer-vision-and-machine-learning/research/gaze-based-human-computer-interaction/labelled-pupils-in-the-wild-lpw

    Robustreal-time pupil tracking in highly off-axis images. InProc. ETRA 2012, 173–176. [3] W. FUHL, T. C. KBLER, K. S., W. R., E. K. Excuse: Robustpupil detection in real-world scenarios. InProc. CAIP 2015