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13 May 2004: Cluster Voting for Speaker Diarisation. S.E. TranterCUED/F-INFENG/TR-476. 1st May 2004. Abstract:. It is often important to be able to automatically detect ‘who spoke when’ in audio data. The speaker di-arisation task attempts to address this

13 Mar 2018: Filtering Using a Tree-Based Estimator. B. Stenger A. Thayananthan P. H. S. Torr† R. Cipolla. University of Cambridge † Microsoft Research Ltd.Department of Engineering 7 JJ Thompson AvenueCambridge, CB2 1PZ, UK Cambridge, CB3 OFB, UK.

11 Sep 2019: Firstly, our results show that there is usually not a single op-.

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13 Mar 2018: intervals de profondeur vides.Dans le cas de deux vues, les silhouettes correspondantesne seront pas cohérentes s’il existe au moins un rayon op-tique classé S par une des silhouettes

19 May 2014: Dense op-. tical flow is used to compute pairwise registration and.

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13 Mar 2018: Learning Shape Priors for Single View Reconstruction. Yu Chen and Roberto CipollaDepartment of Engineering, University of Cambridge. {yc301 and rc10001}@cam.ac.uk. Abstract. In this paper, we aim to reconstruct free-from 3D mod-els from a single

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13 Mar 2023: Note that the consistencyweighting alone can improve the accuracy (for Ns 19).This suggests that the proposed weighting can be applied tothe existing multi-view depth estimation methods that op-erate

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13 Mar 2018: Now the problem of finding an op-timal replacement of pixels in patch p′ from those in patch m′ is equivalent to finding apath in the graph such that the error

7 Oct 2011: Statistical Models forNoise-Robust. Speech Recognition. R O G I E R C H R I S T I A A NV A N D A L E N. Q U E E N S ’ C O L L E G E. Department of EngineeringUniversity of Cambridge. is dissertation is submitted for the degree of Doctor of

16 Jan 2008: Augmented Statistical Models for. Classifying Sequence Data. Martin Layton. Corpus Christi College. University of Cambridge. September 2006. Dissertation submitted to the University of Cambridge. for the degree of Doctor of Philosophy. i.

13 Mar 2018: LeCun. Sceneparsing with multiscale feature learning, purity trees, and op-timal covers.

13 Mar 2018: Dense op-. tical flow is used to compute pairwise registration and.

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17 Sep 2008: 8.10 WER (%) and log-likelihood for VTS compensation of clean models on Op-erations Room corrupted RM task at 20 dB SNR (0DA) varying dimensionscompensated and noise model estimation.

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26 Sep 2005: CAMBRIDGE UNIVERSITYENGINEERING DEPARTMENT. Uncertainty Decoding for. Noise Robust. Automatic Speech Recognition. H. Liao and M.J.F. Gales. CUED/F-INFENG/TR.499. October 2004 (Revised January 2005). Cambridge University Engineering Department.

19 May 2014: Dense op-. tical flow is used to compute pairwise registration and.

13 Mar 2018: This goal is achieved by solving an op-timization problem by numerical techniques, searching di-rectly for the intrinsic parameters of the cameras, instead ofthe indirect search performed by the algorithms

9 Aug 2005: A:gX BYh[8143U5 7/9;:A<. i. v. (1)gradient of objective. using. = v (. v. v++ iop. )op. v. t T. sT= valv. 1. 0 1.

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13 Mar 2018: The optimal. values were found to be2.3 and6.2 for visual data; the op-timal filter for thermal data was found to be alow-passfilterwith W2 = 2.8 (i.e.

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20 Dec 1999: 3 o. r 6. Deg. rees. of. Fre. edo. m). Op.

13 Mar 2018: However, the back-projectionfrom 2D to 3D is usually multi-modal, and this results ina non-convex objective function with multiple local op-tima, which is usually difficult to solve.

13 Mar 2018: Horses were investigatedbriefly in [7] but poor results were obtained. 3Note that ROC curves are not ideal for the task of detection, as op-posed to classification; see [1] for more

13 Mar 2018: rize human action and gesture classes in videos. Traditional. approaches based on explicit motion estimation require op-.

25 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

9 Aug 2005: Englandemail: mjjs@eng.cam.ac.uk. ii. iii. Abstract. The vast majority of classification systems are designed with a single set of features, and op-timised to a single specified cost.

13 Mar 2018: ntr. op. y L. os. s. Inp. ut. Ima. ge. L1.

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12 Aug 2019: Recently, Park etal. [35] proposed a refinement method by computing an op-tical displacement map in the same 2D planar domain of thephotometric stereo images.

2 Feb 2002: The State Based Mixture of Experts HMM. with Applications to the. Recognition of Spontaneous Speech. Andreas Tuerk. Emmanuel College. and. Cambridge University Engineering Department. September 2001. Dissertation submitted to the University of

13 Mar 2023: 3. We apply the attention-based relevancy maps tied to vision transformers to guide op-timal transport optimization and further validate the effectiveness of partial optimaltransport for dataset showing strong viewpoint

16 Nov 2007: Linear Gaussian Models for. Speech Recognition. Antti-Veikko Ilmari Rosti. Wolfson College. May 2004. Dissertation submitted to the University of Cambridge. for the degree of Doctor of Philosophy. ii. Declaration. This dissertation is the result of

27 Oct 2015: Model-based Approaches to Robust SpeechRecognition in Diverse Environments. Yongqiang Wang. Darwin CollegeEngineering Department Cambridge University. October 2015. This dissertation is submitted to the University of Cambridge. for the degree of

9 Apr 2022: To allow forthe backpropagation of gradients through the sampling op-eration, we present a differentiable rejection sampler formatrix-Fisher distributions over relative 3D joint rotations.

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19 May 2014: Dense op-. tical flow is used to compute pairwise registration and.

9 Aug 2005: " #$% #&')(,%-&-./0 #1%2%-&-3145 6789. ,9:0;) ". <>=-?A@CB,D4EA?GFHDJIKML@JNPO-QSRS@7TH?AU2@VEAEAD. WXZY%[XV] ]_[XZYa]_bdc-feg+]_X4ehVic-g&jJ[lkJY%]mHXZ[no]_pf[qesrt2uVgbZ[XZY-ev%Xxwyef] ]_ehZiz{'| }0ic-g&jJ[lkJY%]. -ZyP%Joo%y-o-yf%_yPoyo