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1 - 10 of 37 search results for TALK:ZA31 24 / |u:mi.eng.cam.ac.uk where 0 match all words and 37 match some words.

  1. Results that match 1 of 2 words

  2. Towards Learning Orientated Assessment for Non-native Learner Spoken…

    mi.eng.cam.ac.uk/~mjfg/ALTA/presentations/ALTA_Sheffield_20190306.pdf
    21 Feb 2022: 300 300. 25.5. 400 24.5. 400 24.4. ASR on Non-native Speech (2). • ... Thai dh d 7.24 oh aa 5.21. 30. • Top 2 recurrent substitution errors for speakers in each L1.

  3. Paper8-CV-intro.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2022-IB-Paper8-CV-Introduction.pdf
    26 Apr 2022: 2D array I(x,y,t) incomputer memory. CCD. • A typical digital SLR CCD measures about 24 16 mm.

  4. Applying Deep Learning in Non-native Spoken English Assessment

    mi.eng.cam.ac.uk/~mjfg/ALTA/presentations/APSIPA2019_Knill.pdf
    21 Feb 2022: 1.0 indicates within one CEFR grade-level. 24/45. Assessment System Performance. • ... 1.0 indicates within one CEFR grade-level. 24/45. Performance Analysis. 25/45.

  5. Home Research News Low-cost AI heart monitor developed by ...

    mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2018-ECG-Cambridge-Heartwear.pdf
    9 Apr 2022: This requires fixing 12 leads tothe patient’s chest and carrying the cumbersome device around for 24 hours.

  6. Use of Deep Learning in Free Speaking Non-native English Assessment

    mi.eng.cam.ac.uk/~mjfg/ALTA/presentations/TSD2021_Knill.pdf
    21 Feb 2022: 24/56. Deep Density Network-based Grader [1, 7]. • Deep Density Networks predict parameters of a distribution.

  7. Part IA Computing CourseLent Term Software Design Exercise Roberto ...

    mi.eng.cam.ac.uk/~cipolla/resource/lent.pdf
    12 Apr 2022: default:cout << "Trading error: trading system failure." << endl;exit(-1);. }}. 24.

  8. FIERY: Future Instance Prediction in Bird’s-Eye Viewfrom Surround…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-ICCV-Future-Instance-Prediction-BEV.pdf
    9 Apr 2022: 5.3. Analysis. 20 22 24 26 28 30. FIERY. Deterministic. Uniform depth. ... 24] Alex Kendall, Yarin Gal, and Roberto Cipolla. Multi-tasklearning using uncertainty to weigh losses for scene geome-.

  9. Real-time analogue gauge transcription on mobile phone Ben…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-CVPR-analogue-meter-reading.pdf
    9 Apr 2022: 13]Gauge µθ R% µθ R%meter a 9.24 100 36.51 100meter b 26.06 100 103.63 100meter c 1.94 100 127.68 32.5meter d ... 2. [24] Apostolia Tsirikoglou, Joel Kronander, Magnus Wrenninge,and Jonas Unger. Procedural modeling and physically basedrendering for

  10. Estimating and Exploiting the Aleatoric Uncertaintyin Surface Normal…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-ICCV-surface-normal-uncertainty.pdf
    9 Apr 2022: 4Ours S 16.0 8.4 24.7 59.0 77.5 83.7. ... 24] Shuai Liao, Efstratios Gavves, and Cees GM Snoek. Spheri-cal regression: Learning viewpoints, surface normals and 3drotations on n-spheres.

  11. FIERY: Future Instance Prediction in Bird’s-Eye Viewfrom Surround…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-FIERY-future-instance-BEV.pdf
    9 Apr 2022: 20 22 24 26 28 30. FIERY. Deterministic. Uniform depth. No future flow. ... 24.6. 24.1. Figure 5: Performance comparison of various ablations ofour model.

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