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1 - 10 of 113 search results for Economics middle test |u:mi.eng.cam.ac.uk where 0 match all words and 113 match some words.

  1. Results that match 2 of 3 words

  2. tech.dvi

    mi.eng.cam.ac.uk/~sjy/papers/bghk13.pdf
    20 Feb 2018: Reducingthenumber of system components leads to a simpler architecturethat iseasier to implement and test. ... Table 4. Analysis of detected speech segments using V2 and A2models on noisy test setGM2b.

  3. Robust Instance Recognition in Presence ofOcclusion and Clutter Ujwal …

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2014-ECCV-3D-recognition.pdf
    13 Mar 2018: We capture six test scenes with the same five objects. Eachtest scene has 400 500 frames containing multiple objects with different back-grounds/clutter and poses.Scenario 4: This scenario tests ... Recall. Pre. cis. ion. LineModSupp. SIterative(Edge).

  4. Evaluation of Statistical POMDP-basedDialogue Systems in Noisy…

    mi.eng.cam.ac.uk/~sjy/papers/ybgh14.pdf
    20 Feb 2018: Contrasts marked are statisticallysignificant (p < 0.05) using a Kruskal-Wallis rank sum test. ... Test System Num Objective Success Rate Perceived Average WERDialogs Partial Full Success Rate Turns.

  5. Ghostscript wrapper for…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2007-CVPR-Kim-incremental.pdf
    13 Mar 2018: test data. The descriptor should also be compact, even for. large data sets. ... divided into training and test sets. All basis vectors were. extracted from the training set.

  6. Robust Instance Recognition in Presence ofOcclusion and Clutter Ujwal …

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2014-ECCV-3D-recognition.pdf
    13 Mar 2018: We capture six test scenes with the same five objects. Eachtest scene has 400 500 frames containing multiple objects with different back-grounds/clutter and poses.Scenario 4: This scenario tests ... Recall. Pre. cis. ion. LineModSupp. SIterative(Edge).

  7. Inverse Reinforcement Learning for Micro-Turn Management Dongho Kim,…

    mi.eng.cam.ac.uk/~sjy/papers/kgbt14.pdf
    20 Feb 2018: The environment T in a training dia-logue might be different from that of the test dialogues, and thuswe computed a maximum-entropy randomised policy in the testenvironments given the learnt ... In future work, theIRL reward function will be integrated

  8. This article appeared in a journal published by Elsevier. ...

    mi.eng.cam.ac.uk/~sjy/papers/inyo09
    20 Feb 2018: Table 3Percent of unseen contexts in the test data. Number of matching features. ... Noduration modification was applied for this test. Twenty subjects participated in the evaluation.

  9. Towards Automatic Assessment of Spontaneous Spoken English Y.…

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/ALTA_SpComm2017.pdf
    12 Sep 2018: computed over all the test sectionswhere the candidate is required to produce spontaneousspeech. ... xN}, what is the best estimate of thevalue of the function at test point x.

  10. Ghostscript wrapper for…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2007-CVPR-Kim-incremental.pdf
    13 Mar 2018: test data. The descriptor should also be compact, even for. large data sets. ... divided into training and test sets. All basis vectors were. extracted from the training set.

  11. 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

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