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51 - 60 of 222 search results for KaKaoTalk:vb20 200 |u:mi.eng.cam.ac.uk where 0 match all words and 222 match some words.

  1. Results that match 1 of 2 words

  2. Incremental Learning of Locally OrthogonalSubspaces for Set-based…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-BMCV-Kim-incremental.pdf
    13 Mar 2018: 7. 0 50 100 150 200 250 300 350 4000.25. 0.2. ... 50. 100. 150. 200. 250. 300. 350. 400. 450. 500. Number of incremental updates.

  3. An Illumination Invariant Face Recognition System forAccess Control…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2004-BMVC-Arandjelovic-invariant.pdf
    13 Mar 2018: Figure 2:Parallax used to cluster input face images (a). The distributions ofη (1) for the three clusters, computedfrom 200 manually labelled frames is shown in (b). ... 20. 40. 60. 80. 100. 120. (a) (b). 0 100 200 300 400 500 600 700 800 900 10000.

  4. POLICY OPTIMISATION OF POMDP-BASED DIALOGUE SYSTEMS WITHOUT…

    mi.eng.cam.ac.uk/~sjy/papers/ghtt12.pdf
    20 Feb 2018: The summary space is formed from 200 hand-crafted binary features and the action space consists of 16 summaryactions.

  5. malis-1425.dvi

    mi.eng.cam.ac.uk/~cipolla/publications/article/2003-IJRR-Malis.pdf
    13 Mar 2018: 2 1/2 D visual servoing with respect to planar. contours having complex and unknown shapes. E. Malis, G. Chesi†and R. Cipolla‡. Abstract. In this paper we present a complete system for segmenting, matching, track-. ing, and visual servoing with

  6. Dialogue manager domain adaptation using Gaussian process…

    mi.eng.cam.ac.uk/~sjy/papers/gmrs17.pdf
    20 Feb 2018: Here we investigate whether the use of a. 17. 0 50 100 150 200 250 300Dialogues. ... The contrasts studied were as follows:. 21. 0 50 100 150 200 250Dialogues.

  7. Multi-domain Neural Network Language Generation forSpoken Dialogue…

    mi.eng.cam.ac.uk/~sjy/papers/wgmr16.pdf
    20 Feb 2018: However,the number of actually occurring DA combinationsin the restaurant and hotel domains were rather lim-ited (200) and since multiple references were col-lected for each DA, the resulting datasets

  8. C:/SFWDoc/Academic/Publications/2005/BMVC_2005/FinalPaper/bmvc_05_sfwo…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2005-BMVC-Wongsf-realtime.pdf
    13 Mar 2018: Furthermore, since the size of the ROIs may vary from one videoto the other, the final MGO images are resized to the corresponding refined images withstandard size (which is 200 200 ... 3.2 Dimension Reduction by PCA. In order to reduce the number of

  9. Deep Roots: Improving CNN Efficiency With Hierarchical Filter Groups

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2017-CVPR-deep-roots.pdf
    13 Mar 2018: also applied our method to ResNet 200, the deepest network. for ILSVRC 2012. ... To provide a baseline we used code im-. Table 5: ResNet-200 Results.

  10. Affine reconstruction of curved surfaces from uncalibrated views of…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/1999-PAMI-Sato.pdf
    13 Mar 2018: 11, NOVEMBER 1999. 0. 50. 100. 150. 200. 250. tirnc-to-contact (frames). ... upper fp 6.10. lowcr fp. 0 100 200 (C). Fig. 11.

  11. Efficiently Combining Contour and TextureCues for Object Recognition…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2008-BMVC-Shotton.pdf
    13 Mar 2018: Theother parameters were set as follows: τ = 30 (2), K = 200 textons, |R| = 100 rectangles,δ1 = 0.03, δ2 = 0.25, γ1 = log 1.1, γ2 = log 1.4, λ Λ =

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