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  1. Results that match 1 of 2 words

  2. SUB-SAMPLE INTERPOLATIONSTRATEGIES FOR SENSORLESSFREEHAND 3D…

    mi.eng.cam.ac.uk/reports/svr-ftp/housden_tr545.pdf
    13 Jan 2006: 0.11 9.47 0.09fourier 5.26 0.44 12.24 0.17 9.89 0.08 8.84 0.31.
  3. techreport_20060422MJ.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/brostow_Eurographics06.pdf
    14 Sep 2006: Pattern Analysis andMachine Intelligence, 24(6):748–763, 2002. [22] S. Obdržálek and J. ... ACM Siggraph, 2004. [24] Carsten Rother, Sanjiv Kumar, Vladimir Kolmogorov,and Andrew Blake.
  4. 22 Nov 2006: ãtj = max{atj , amin} (24). whereãtj is the floored scale factor andamin is the scale floor.In this paper,amin of 0.1 was used.
  5. 21 Nov 2006: b. . . . . (24). One candidate for estimating the decision bound-ary is the Support Vector Machine (SVM).
  6. Royal Society Meeting on Geometry in Computer Vision

    mi.eng.cam.ac.uk/~cipolla/royal_society.html
    28 Nov 2006: Session 3: Grouping and Matching. Thursday 24 July, 09.30-12.30 (Chair: Dr A. ... Session 4: Geometry and Statistics. Thursday 24 July, 14.00-17.40 (Chair: Dr R.
  7. 5 Jul 2006: Complementary System Selection (“Random”). • Variability to systems can be obtained by varying for example:– segmentation and clustering [3]– acoustic model decision tree [24]– acoustic model context (tri/quin-phone) [4]– ... Cambridge
  8. Semi-supervised Learning of Joint DensityModels for Human Pose…

    mi.eng.cam.ac.uk/reports/svr-ftp/navaratnam_semi_supervised.pdf
    14 Sep 2006: ln = 40.80RMS= 24.85. ln = 78.35RMS= 26.56. ln = 98.72RMS = 12.67. ... ln = 30.47RMS= 13.12. ln = 54.29RMS= 24.98. Figure 6:Pose Detection:This illustrates results from applying the GMM learnt from 8k marginaland 2k joint data points with 50
  9. DYNAMIC RESOLUTION SELECTIONIN ULTRASONIC STRAIN IMAGING J. E.…

    mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr566.pdf
    29 Sep 2006: 1.24. 1.26. 1.28. 1.3. 1.32. 1.34x 10. 3. scatterer depth (m). ... f) Window length (max=175), strain and SNRe forDRS, SNRe=12.87 and V=5.24.
  10. TextonBoost: Joint Appearance, Shape andContext Modeling for…

    mi.eng.cam.ac.uk/reports/svr-ftp/shotton_eccv06.pdf
    15 Feb 2006: For cases like these, the algorithm of [24] couldbe used to refine the class labeling. ... In: AAAI.(2005) 1508–1513. 24. Kumar, S., Hebert, M.: A hierarchical field framework for unified context-basedclassification.
  11. pami04.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/hernandez_pami06.pdf
    19 Sep 2006: 3b. A simple way of measuring the silhouette coherence using theconcept of visual hull [24] is. ... pp. 245–262, 2001. [24] A. Laurentini, “The visual hull concept for silhouettebased image understanding,”IEEE Trans.

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