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  2. Evermann, Kim, Wang, Woodland et al.: CU-HTK Fast System ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/evermann_rt03s.pdf
    23 Jun 2003: 2003 System structure 10xRT CTS. • Automatic segmentation. • Use new models from full system. •
  3. Model-Based 3D Tracking of an Articulated Hand B. Stenger ...

    mi.eng.cam.ac.uk/reports/svr-ftp/stenger_cvpr01.pdf
    12 May 2003: Springer-Verlag,New York, 2001. [12] D. M. Gavrila and L. S. Davis. ... 17] A. H. Jazwinski. Stochastic Processes and Filtering Theory.Academic Press, New York, 1970.
  4. Optimisation of Fast LVCSR Systems Gunnar Evermann, Phil Woodland ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/evermann_stthomas03.pdf
    10 Dec 2003: New 10xRT system. Changes:. • Faster P1 configuration. • Use SPron model for lattice generation (about 10% faster). •
  5. Learning a Kinematic Priorfor Tr ee-Based Filterin g A. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/thayananthan_bmvc03.pdf
    23 Nov 2003: Currently, mosttrackers useparticlefiltering [7], in which it is essentialto be abletosamplefrom the prior to generate new hypotheses.With the increasein computationalpower onemay also considerhandlingambiguoussituationsby treatingtracking as
  6. Metadata Extraction at Cambridge University Sue Tranter, Marcus…

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/tranter_earsjan03.pdf
    8 Jul 2003: C.Woodland & S.J.YoungSegment Generation & Clustering in the HTK Broadcast News TranscriptionSystemProc. ... 1998 DARPA Broadcast News Transcription and Understanding Workshop, pp.133-137 (Lansdowne, VA, Feb.
  7. Automatic 3D Modelling of Architecture Anthony Dick� Phil Torr� ...

    mi.eng.cam.ac.uk/reports/svr-ftp/dick_bmvc00.pdf
    5 Dec 2003: A projection matrix is then estimated linearly from the 2D-3D cor-respondences, and new structure is triangulated from 2D-2D matches without previousstructure. ... is computed by subtracting the contributions from the invalid. boundary segments (shown as
  8. Woodland et al.: English CTS Systems 2003 CU-HTK English ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/woodland_rt03s.pdf
    24 Jul 2003: After eval03 found SPron lattices from scratch (new word lattices/modelmarked lattice MPE regen) helps by only another 0.1% absolute. ... variable number of Gaussians per state: 0.3% abs. • new MPE lattice generation/regeneration procedure: 1.2% abs.
  9. Filterin g Using a Tr ee-BasedEstimator B. Stenger� A. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/stenger_iccv03.pdf
    23 Nov 2003: We have testedthe new tracking methodon sequencesinvolving clutter in the background together with non-rigidhandmotion. ... Barrow, J. M. Tenenbaum, R. C. Bolles, and H. C.Wolf. Parametriccorrespondence and chamfer matching:Two new techniques for
  10. Interactions Between Diarisation and STT Sue Tranter1, Kai Yu1, ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/tranter_rt03sinter.pdf
    22 Jul 2003: 1] 10xRT BN RT-03 system with new LM excluding days from bndidev03 data set. • ... BN - Mixing-and-matching - the details. • Removing Commercials. – ( NONE / CUED EVAL / CUED TDT4 / PERFECT )– use the output as the new UEM input to the
  11. Reconstruction of Surfaces of Revolutionfrom Single Uncalibrated…

    mi.eng.cam.ac.uk/reports/svr-ftp/kykwong_bmvc02.pdf
    5 Dec 2003: InProc. Conf. Computer Vision andPattern Recognition, pages 123–129, New York, NY, June 1993.
  12. iccv.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/drummond_iccv2001.pdf
    20 Oct 2003: This gives new values for µ2 and C2 which take intoaccount the optimal pose of component 1. ... The process can be re-peated, propagating the new statistics for component 2 intothe next component up the chain until the statistics for allcomponents have
  13. Recent Experiments with HTK Broadcast Newsand Conversational…

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/woodland_earsjan03.pdf
    17 Jan 2003: Some new techniques including:– MPE/MMI-MAP– discriminative SAT– variable number of Gaussians/state. • ... First release from this tree was HTK3.2, December ’02, new features include:. –
  14. Bayesian Stochastic Mesh Optimisation for 3DReconstruction George…

    mi.eng.cam.ac.uk/reports/svr-ftp/vogiatzis_bmvc03.pdf
    23 Nov 2003: Vertex v is replaced by verticesv1 andv2 and new edgee joining them isintroduced. ... The reason it fails is that erroneous initial verticescannot be removed and new areas of the surface cannot be added.
  15. Towards a Complete Dense Geometric andPhotometric Reconstruction…

    mi.eng.cam.ac.uk/reports/svr-ftp/weber_bmvc2002.pdf
    29 Nov 2003: JOSA, 11:3050–3068, 1994. [16] P.L. Worthington and E.R. Hancock. New constraints on data-closeness and needlemap consistency for shape-from-shading.
  16. Shape Context and Chamfer Matching in Cluttered Scenes A. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/thayananthan_cvpr03.pdf
    12 May 2003: C. Bolles, and H. C.Wolf. Parametriccorrespondence and chamfer matching:Two new techniquesfor imagematching. ... Rangarajan. A new point matchingalgo-rithm for non-rigid registration.ComputerVision and ImageUnderstanding, 2003.
  17. Initialisation and Termination of Active Contour Level-Set Evolutions …

    mi.eng.cam.ac.uk/reports/svr-ftp/weber_vlsm2003.pdf
    29 Nov 2003: The firstterm (. H) - ) K ) accounts for the fact that as changes, theevaluation of - has to be translated to the new position of theinterface (i.e.
  18. ASRU03.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/wang_asru2003.pdf
    25 Sep 2003: In Fig. 1, “INPUT” indicates that these transformsare applied to the feature/model space when calculating the occu-pancies for new linear transforms, while “PARENT” means thosetransforms are also applied when
  19. paper.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/liu_asru2003.pdf
    25 Sep 2003: Given the currentvalue of the criterion, the new value is estimated as the old value.
  20. IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. XX, NO. Y, ...

    mi.eng.cam.ac.uk/reports/svr-ftp/kykwong_tip04.pdf
    18 Sep 2003: XX, NO. Y, MONTH YEAR. overcome by incorporating new views from arbitrary general motion. ... rotation axis, the horizon and the special vanishing point, respectively, under this new camera.
  21. A Sparse Probabilistic Learning Algorithm for Real-Time Tracking…

    mi.eng.cam.ac.uk/reports/svr-ftp/williams_iccv03.pdf
    23 Nov 2003: New methods in Wiener filtering. In Proc. of theFirst Symposium on Engineering Applications of RandomFunction Theory and Probability.

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