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BUDVYTIS et al.: LABEL PROPAGATION 1 Label propagation in ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2010-BMVC-label-propagation.pdf13 Mar 2018: Parts around the vanishing point and entry points of moving objects into the scene, suchas cross roads. ... Computational requirements The E-step in algorithm2 was implemented in C# with a 8core processor at a cost of 90s/frame. -
Department of Engineering 1 E�cient decodingwith continuous rational…
mi.eng.cam.ac.uk/~mjfg/Kernel/van_dalen-2012-tr-efficient_score-spaces.pdf27 Mar 2013: is requirement restricts the form of the kernel. e alternative,which this paper will use, is to work directly on the primal representation of the kernel.is means that the kernel ... φ(Osi,wi), (3). where Osi indicates the observations in segment si. In -
Kernel Methods forText-Independent Speaker Verification Chris…
mi.eng.cam.ac.uk/~mjfg/thesis_cl336.pdf25 Feb 2010: Kernel Methods forText-Independent. Speaker Verification. Chris Longworth. Cambridge University Engineering Departmentand. Christ’s CollegeFebruary 23, 2010. Dissertation submitted to the University of Cambridgefor the degree of Doctor of -
Int J Comput VisDOI 10.1007/s11263-012-0563-2 A Performance…
mi.eng.cam.ac.uk/~cipolla/publications/article/2012-IJCV-3D-interestpoints.pdf13 Mar 2018: The proposed combinedscore is computed based on repeatability ratio with respectto varying accuracy requirements. ... For each detector, the detected. Table 3 For each entry, top to bottom: The average number of interestpoints detected, the average -
Semantic Transform: Weakly Supervised Semantic Inference for Relating …
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2013-ICCV-Shankar-attrirbutes.pdf13 Mar 2018: 3Note that the main requirement is that the classes are ordered so asto correctly reflect the underlying attribute-specific themes and the learntmodel maximally separates the classes while conforming to the ... all training images forattribute am, and -
Noname manuscript No.(will be inserted by the editor) Distances ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2014-IJCV-Pham.pdf13 Mar 2018: Divergences, also sometimes referred to as qua-sisemimetrics, form a further superset of metrics whichalso drop the requirement of sub-additivity, requiringonly conditions 1 and 2. -
Discriminative Complexity Control and Linear Projections for Large…
mi.eng.cam.ac.uk/~mjfg/thesis_xl207.pdf16 Nov 2007: i=2 αi(τ )aij j = Ns, τ = T. (2.12). where Ns is the number of states in each HMM, including the non-emitting entry and exit states. ... moments to be stored as full matrices for each component. Again the computational requirement. -
This article appeared in a journal published by Elsevier. ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2009-CVIU-face-illumination.pdf13 Mar 2018: training data requirements, promising resultsare reported by the more recent, generalized photometric stereomethods [13,14,16] which in addition exploit class-specific con-straints of face shape and albedo. ... Fig. 6. Our offline algorithm implicitly -
newsletter.indd
mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2005-Insight-Tracking-Crowds.pdf7 Nov 2014: Hand in hand with this development, and working in close collaboration with the Cambridge Computational Biology Institute (CCBI), the aim is also to increase the breadth and capacity of our postgraduate ... There are clear benefi ts for both academic and -
Linear Gaussian Models for Speech Recognition Antti-Veikko Ilmari…
mi.eng.cam.ac.uk/~mjfg/thesis_avir2.pdf16 Nov 2007: The diagram, adopted from. the hidden Markov model toolkit (HTK) [129], has non-emitting entry and exit states, and. ... The transitions from the non-emitting entry state are re-. estimated by â1j = γj(1) for 1 < j < Ns and the transitions from the
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