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  1. Results that match 2 of 3 words

  2. Int J Comput Vis (2012) 100:203–215DOI 10.1007/s11263-011-0461-z…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2012-IJCV-Shallow-trees.pdf
    13 Mar 2018: pression is minimised (middle). An optimal short tree is built on theminimum expression (right). ... 8(left) and Fig. 9(left). The six test sets werecreated by randomly perturbing the train sets.
  3. Part IA Computing CourseTutorial Guide to C++ Programming Roberto ...

    mi.eng.cam.ac.uk/~cipolla/resource/tutorial.pdf
    12 Apr 2022: 3) Write and test a program to calculate the area of a circle. ... test thecondition that the equations have a unique solution) and display the solution.
  4. TPAMI-0554-0706-2 1..14

    mi.eng.cam.ac.uk/~cipolla/publications/article/2007-PAMI-Kim.pdf
    13 Mar 2018: We used 18 randomlyselected training/test combinations of the sequences forreporting identification rates. ... The test recognition rates changed byless than 1 percent for all of the different trials of randompartitioning.
  5. 17 Nov 2021: and evaluated on corresponding test sets. 1176.6 Expert human scores vs predictions by AttLSTM deep intonation grader,. ... middle) and LPINT (bottom) using posterior thresholding, repeated. using ASR output, manual transcription (MAN) and, the case of
  6. Spatio-Temporal Clustering of Probabilistic Region Trajectories Fabio …

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2011-ICCV-Galasso-ST.pdf
    13 Mar 2018: Middle) The clusters of region trajectories computed with our algorithm are represented with differentshaded colours (some colours may be repeated). ... 1. To limit the computational load we con-sider the first 100 frames only.Our main purpose is to test
  7. 20 Feb 2018: marks statistically sig-nificant difference between RT S and RIQ (p < 0.05, T-test). ... Figure 3: Moving TSR (left), moving AIQ (middle) and moving AUS (right) for using either TS, IQ, or US as reward averaged over twopolicies respectively, computed on
  8. Face Recognition from Video using the GenericShape-Illumination…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-ECCV-Arandjelovic-face.pdf
    13 Mar 2018: In AFR tests, such methods are usuallyoutperformed by methods from the third class: view-based techniques e.g. ... KLD) [38]. In all tests, both training data for each person in the gallery, as well as test data,consisted of only a single sequence.
  9. Improving Attention-based Sequence-to-sequence Models

    mi.eng.cam.ac.uk/~mjfg/thesis_qd212.pdf
    5 Jul 2022: B.1.3 Neural Vocoder Pretraining. 160. B.2 Listening Tests. 163. List of figures. ... 162. B.2 Results of the listening tests comparing HRNN, HRNNFT100% andHRNNFT10%; Nick test set.
  10. FootNet: An Efficient Convolutional Network forMultiview 3D Foot…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-ACCV-CNN-foot-reconstruction.pdf
    28 Jun 2021: Table 3: Average length and width errors (mm) on real val/test data. ... Pool at test timePredicted segmentation Hand segmentationLength error Width error Length error Width error.
  11. Article Submitted to Computer Speech and Language Automatic…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/kim_csl04.pdf
    9 Aug 2005: This test data isnamed TestBNAcoustic98. TestBNAcoustic98 comprises 3 hours of acoustic data andthe transcription. ... Table 8 shows the result of the capitalisation generation system based on NE classes andpunctuation marks for these test conditions.

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