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31 - 40 of 42 search results for TALK:PC53 20 |u:mi.eng.cam.ac.uk where 0 match all words and 42 match some words.

  1. Results that match 1 of 2 words

  2. 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: dependent. • General approach tunable approach based on deep learning. 20/56. Model-based Pronunciation Features. ... General approach tunable approach based on deep learning. 20/56. Deep Learning Pronunciation Features [5].

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

    mi.eng.cam.ac.uk/~mjfg/ALTA/presentations/APSIPA2019_Knill.pdf
    21 Feb 2022: 20/45. Assessment: Gaussian Process [14, 16]. • Gaussian process• non-parametric model based on joint-Gaussian assumption. • ... 16-20, 2017, 2017, pp.

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

    mi.eng.cam.ac.uk/~cipolla/resource/lent.pdf
    12 Apr 2022: and balance arrays (day 0) to be 20.0 and 20000.0 respectively. ... 20. 8 Notes on Implementation of Functions of Part II. 8.1 Electronic trading library functions.

  5. ENGINEERING TRIPOS PART IIB ELECTRICAL AND INFORMATION SCIENCES…

    mi.eng.cam.ac.uk/~cipolla/resource/4F12exam.pdf
    12 Apr 2022: 20%]. (ii) Give an expression for computing the intensity of a smoothed pixel. ... 20%]. (c) Outline an algorithm to recover the elements of the projection matrix.

  6. Paper8-CV-intro.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2022-IB-Paper8-CV-Introduction.pdf
    26 Apr 2022: 20 Engineering Part IB: Paper 8 Information Engineering. Syllabus. 1. Introduction. •

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

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-FIERY-future-instance-BEV.pdf
    9 Apr 2022: NuScenes contains 1000 scenes, each 20 sec-onds in length, annotated at 2Hz. ... 20 22 24 26 28 30. FIERY. Deterministic. Uniform depth. No future flow.

  8. Scaling digital screen reading with one-shot learning and…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-WACV-scaling-digital-meters.pdf
    9 Apr 2022: 0. 20. 40. 60. 80. 100. Prec. isio. n (%. ). Multimeter. 0 5 10 15 20 25Norm dist from GT (px). ... 20] E. Rublee, V. Rabaud, K. Konolige, and G. Bradski. Orb: Anefficient alternative to sift or surf.

  9. X-MAN: Explaining multiple sources of anomalies in video Stanislaw ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-CVPR-XMAN-anomaly-detection.pdf
    9 Apr 2022: 26], sometimes aug-mented with memory modules [19], and/or optical-flow im-ages [13, 20, 21]. ... Learning memory-guided nor-mality for anomaly detection. In CVPR, 2020. [20] M.

  10. solutions2.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/4F12/Examples/solutions/4F12-examples-2-solutions.pdf
    17 Oct 2022: X=0, y=0. 0 =sy. s= p22. X=20, y=0.5. 0.5 =sy. s=. ... sys. ]. =. [. 1 01 20. ][. X1. ]. With this calibration we can recover structure X given the y component of the imageposition:.

  11. 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: meter_e. 0. 100. 200. test2. 0 20 40 60 80 100 120 140Frame no. ... 4. [20] R. Sablatnig and W. G. Kropatsch. Automatic reading ofanalog display instruments.

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