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1 - 10 of 13 search results for KaKaoTalk:vb20 200 |u:mi.eng.cam.ac.uk where 0 match all words and 13 match some words.

  1. Results that match 1 of 2 words

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

    mi.eng.cam.ac.uk/reports/svr-ftp/sfwong_bmvc05.pdf
    21 Sep 2006: 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

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

    mi.eng.cam.ac.uk/reports/svr-ftp/kim_bmvc06.pdf
    21 Sep 2006: 0 50 100 150 200 250 300 350 4000.25. 0.2. 0.15. ... Fea. ture. Val. ueBatch OSMINC OSM. 50 100 150 200 250 300 350 4000.

  4. DYNAMIC RESOLUTION SELECTIONIN ULTRASONIC STRAIN IMAGING J. E.…

    mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr566.pdf
    29 Sep 2006: 8. 0 100 200 300 400 500 600. 0. 0.2. 0.4. ... ovar. ianc. e. window length = 50250500. (a). 0 100 200 300 400 5000.

  5. C:/SFWDoc/Academic/Publications/2005/ICCV_HCI_2005/FinalPaper/iccv_hci…

    mi.eng.cam.ac.uk/reports/svr-ftp/sfwong_iccv_hci05.pdf
    21 Sep 2006: The MGO obtained withinthe region of interest will be rescaled to a standard size, which is 200 200 inthe proposed system.

  6. Face Recognition from Video using the GenericShape-Illumination…

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_ECCV06.pdf
    17 Feb 2006: generations 200. 0 100 200 300 400 500 600 700 8001. ... Maximal generationcount of 200 was chosen as a trade-off between accuracy and matching speed.

  7. paper563_final.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/thayananthan_eccv06.pdf
    14 Sep 2006: Fig. 2. RVM regression on a toy dataset. The data set consists of 200 samplesfrom three polynomial functions with added Gaussian noise. ... For testing, 200 poses aregenerated by randomly sampling the same region in parameter space and in-troducing

  8. stenger_imavis06.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/stenger_imavis06.pdf
    21 Sep 2006: At. 400 200 0 200 4000. 0.01. 0.02. 0.03. 0.04. 0.05. ... a). 100 0 100 200 3000. 0.02. 0.04. 0.06. 0.08. x.

  9. Learning Discriminative Canonical Correlationsfor Object Recognition…

    mi.eng.cam.ac.uk/reports/svr-ftp/kim_eccv06.pdf
    21 Sep 2006: 9. 100 150 200 250 300 350 4000.5. 0.6. 0.7. 0.8.

  10. Semi-supervised Learning of Joint DensityModels for Human Pose…

    mi.eng.cam.ac.uk/reports/svr-ftp/navaratnam_semi_supervised.pdf
    14 Sep 2006: The question then is to what extent adding marginal samples. 0 50 100 150 200 250 3002.

  11. SENSORLESS RECONSTRUCTIONOF UNCONSTRAINED FREEHAND 3D ULTRASOUND DATA …

    mi.eng.cam.ac.uk/reports/svr-ftp/housden_tr553.pdf
    22 May 2006: SENSORLESS RECONSTRUCTIONOF UNCONSTRAINED FREEHAND. 3D ULTRASOUND DATA. R. J. Housden, A. H. Gee,G. M. Treece and R. W. Prager. CUED/F-INFENG/TR 553. May 2006. University of CambridgeDepartment of Engineering. Trumpington StreetCambridge CB2 1PZ.

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