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31 - 40 of 204 search results for Economics middle test |u:mi.eng.cam.ac.uk where 2 match all words and 202 match some words.

  1. Results that match 2 of 3 words

  2. Learning to Track with Multiple Observers Björn StengerComputer…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2009-CVPR-hand-tracking.pdf
    13 Mar 2018: The running of tests consisting of all possible combina-tions of all trackers on all test sequences would take a pro-hibitive amount of time to complete. ... In order to test the validity of such a setup, weperformed tests using the complete tracking

  3. More Robust Schema-Guided Dialogue State Tracking via…

    mi.eng.cam.ac.uk/~wjb31/eacl_2023_CR.pdf
    1 Mar 2023: Test set dialogues aregrounded in 6 schemas seen during training and 15unseen ones. ... 6It appears in 4 unseen services in the test set.7Lee et al.

  4. PRONUNCIATION MODELING BY SHARING GAUSSIAN DENSITIESACROSS PHONETIC…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/nock_euro99.pdf
    9 Aug 2005: Steps 6, 3, 4 and 5 are then carried out to estimateand test a pronunciation model. ... in Step 5 (Test) PER WER PER WERNone (Dictionary) 49.1% 49.1% 49.5% 58.9%Tree Pron.

  5. KIM et al.: GROWING A TREE FROM DECISION REGIONS ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2010-BMVC-supertree.pdf
    13 Mar 2018: The regions are represented by the boolean table and theboolean expression is minimised (middle). ... Caltech bg datasetMPEG-7 f ace data. BANCA f ace set. MITCMU f ace test set.

  6. Multilingual Models in Neural Machine Translation

    mi.eng.cam.ac.uk/~wjb31/MPhil_Thesis_Guangyu_Yang.pdf
    21 Nov 2023: processing. 29. 4.5 Examples of translation hypotheses from the test set of WMT’21 Chinese-English. ... In this project, we test the impact of using 2 to 32 demonstrationexamples.

  7. Efficient Large-Scale Semantic VisualLocalization in 2D Maps Tomas…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-ACCV-Large-scale-localization.pdf
    28 Jun 2021: database of embeddings of the test environmentlocations to retrieve the most similar location. ... The plots in the middle show mean confidence of trajectories w.r.t.

  8. Learning to Track with Multiple Observers Björn StengerComputer…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2009-CVPR-hand-trackingpdf
    28 Jul 2009: The running of tests consisting of all possible combina-tions of all trackers on all test sequences would take a pro-hibitive amount of time to complete. ... In order to test the validity of such a setup, weperformed tests using the complete tracking

  9. Neural Belief Tracker: Data-Driven Dialogue State Tracking Nikola…

    mi.eng.cam.ac.uk/~sjy/papers/mowt17.pdf
    20 Feb 2018: The training data con-tains 2207 dialogues and the test set consistsof 1117 dialogues. ... For goals, the gains are always statis-tically significant (paired t-test, p < 0.05).

  10. PoseNet: A Convolutional Network for Real-Time 6-DOF Camera…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-ICCV-relocalisation.pdf
    13 Mar 2018: At test time we also normalize the quaternion orienta-tion vector to unit length. ... This noveldataset provides data to train and test pose regression algo-rithms in a large scale outdoor urban setting.

  11. Face Recognition with Image Sets Using Manifold Density Divergence ...

    mi.eng.cam.ac.uk/reports/svr-ftp/oa214_CVPR_2005_paper1.pdf
    8 Aug 2005: These meth-ods have achieved very good accuracy on a small number ofcontrolled test sets. ... We therefore useDKL(p(0)||p(i)) as a “distance measure” between trainingand test sets.

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