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  2. Hierarchical Part-Based Human Body PoseEstimation R. Navaratnam∗ A.…

    mi.eng.cam.ac.uk/reports/svr-ftp/navaratnam_hierarchical.pdf
    14 Sep 2006: We propose a new hierarchical part-based pose estimationmethod for the upper-body that efficiently searches the high dimensional ar-ticulation space. ... C. Wolf. Parametric correspondence and chamfer. matching: Two new techniques for image matching.Proc.
  3. Sparse and Semi-supervised Visual Mapping with the S3GP Oliver ...

    mi.eng.cam.ac.uk/reports/svr-ftp/williams_cvpr06.pdf
    3 Apr 2006: In [14], error is computed using a“leave-one-out” test rather than with completely new testdata. ... 7] A. Jain. Fundamentals of Digital Image Processing. SystemSciences. Prentice-Hall, New Jersey, 1989.
  4. 21 Sep 2006: The new technique facilitates effective dis-criminative learning over sets, thus providing an impressive set classification ac-curacy.
  5. techreport_20060422MJ.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/brostow_Eurographics06.pdf
    14 Sep 2006: Our primary contributionis a new method for creating images of specific thingsand people, with minimal human effort. ... In addition, their in-terface is meant for detailed manipulation of a manuallyspecified region, while our method allows for very
  6. Automatic Cast Listing in Feature-Length Films with Anisotropic…

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_CVPR06.pdf
    21 Mar 2006: 6] consider the problem of clustering detectedfrontal faces extracted from web news pages. ... Hart, and D. G. Stork.Pattern Classification. JohnWily & Sons, Inc., New York, 2nd edition, 2000.5.
  7. pami04.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/hernandez_pami06.pdf
    19 Sep 2006: 1a). We present a new approach to silhouette-based camera motionand focal length estimation that. ... 6). Increasingδ makes the new measure more robust against bad segmentation.But robustness is.
  8. 22 Nov 2006: Two new formsof representation are discussed. The first uses MoG as the experts. ... 2] H Bourlard and S Dupont. A new ASR approach based on independentprocessing and combination of partial frequency bands.
  9. Multi-Sensory Face Biometric Fusion (for Personal Identification)…

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_OTCBVS06.pdf
    19 Mar 2006: Names and faces inthe news.CVPR, 2004. [6] Å. Björck and G. ... 11] T-J. Chin and D. Suter. A new distance criterion for face recognitionusing image sets.ICCV, pages 549–558, 2006.
  10. The Layout Consistent Random Field for Recognizing and Segmenting ...

    mi.eng.cam.ac.uk/reports/svr-ftp/shotton_cvpr06.pdf
    3 Apr 2006: It is possible to pre-select which parts are used asin [4], though this requires considerable human effort foreach new object class. ... The unary classifiers arelearned as described above, after which a new labelling isinferred for all the training
  11. TextonBoost: Joint Appearance, Shape andContext Modeling for…

    mi.eng.cam.ac.uk/reports/svr-ftp/shotton_eccv06.pdf
    15 Feb 2006: wπ. (8). Given this new parameter setting, a new class labeling is inferred and this pro-cedure is iterated [15]. ... 10b with 10d) since the object contour is accurately delineated. 6 ConclusionsThis paper has presented a new discriminative model for
  12. article.dvi

    mi.eng.cam.ac.uk/~mjfg/rosti_CSL04.pdf
    22 Nov 2006: The cross terms including the new state space mean vectors and thefirst-order accumulates have been simplified in Equation (14). ... The lth row vector ĉjl of the new observation matrix can bewritten as.
  13. 21 Nov 2006: M.J.F. GALES† and M.I. LAYTON†, Nonmembers. SUMMARY There has been significant interest in develop-ing new forms of acoustic model, in particular models which al-low additional dependencies
  14. SUB-SAMPLE INTERPOLATIONSTRATEGIES FOR SENSORLESSFREEHAND 3D…

    mi.eng.cam.ac.uk/reports/svr-ftp/housden_tr545.pdf
    13 Jan 2006: The new technique is shown to be superior, limitinginterpolation errors to around 5% of the length of the freehand reconstruction.
  15. Semi-supervised Learning of Joint DensityModels for Human Pose…

    mi.eng.cam.ac.uk/reports/svr-ftp/navaratnam_semi_supervised.pdf
    14 Sep 2006: W. Anderson. An Introduction to Multivariate Statistical Analysis. John Wiley & Sons,Inc., New York,3rd edition, 2003.
  16. SENSORLESS RECONSTRUCTIONOF UNCONSTRAINED FREEHAND 3D ULTRASOUND DATA …

    mi.eng.cam.ac.uk/reports/svr-ftp/housden_tr553.pdf
    22 May 2006: In Section 3, we describe experiments with a hand-held probe designedto test the capabilities and limitations of the new algorithms. ... 5. r (b )half 1. 11 maxb r (b ). ideal new frame, f n.
  17. Unsupervised Bayesian Detection of Independent Motion in Crowds…

    mi.eng.cam.ac.uk/reports/svr-ftp/brostow_MotionInCrowdsCVPR06.pdf
    14 Sep 2006: These would in turn preventthe “spawning” of new entity hypotheses in the middle ofthe scene. ... References[1] G. Bradski. Opencv: Examples of use and new applications in stereo, recogni-.
  18. Face Recognition from Video using the GenericShape-Illumination…

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_ECCV06.pdf
    17 Feb 2006: Compared to single-shot recognition, face recognition from image sequencesis a relatively new area of research. ... PAMI, 19(7):721–732, 1997. 2. O. Arandjelović and R. Cipolla. A new look at filtering techniques for illuminationinvariance in
  19. 22 Nov 2006: These paths represent the transformationof an input sequence into a new output sequence. ... Theonly change required is the addition of a new transducer,S, to calculate the state posteriors.
  20. stenger_imavis06.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/stenger_imavis06.pdf
    21 Sep 2006: C.Wolf. Parametric correspondence and chamfer matching:Two new techniques for image matching. ... InARPA Image Un-. derstanding Workshop, pages 1179–1183, New Orleans,LA, May 1997.
  21. IEEE TRANS. ON SAP, VOL. ?, NO. ??, ????? ...

    mi.eng.cam.ac.uk/research/projects/AGILE/publications/mjfg_ASL.pdf
    23 Feb 2006: The designof a real-time broadcast news recognition system is then detailedusing these new models. ... Gales et al.: THE CUED BROADCAST NEWS TRANSCRIPTION SYSTEM 3. Segmentation /#Segments #Clusters.

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