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13 Mar 2018: Having maximised the likelihood of each primitive, amodel selection criterion is used to decide whether the op-tional parameters A?

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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

27 Mar 2013: op-timal segmentation into words, the features are found in amortisedconstant time.

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26 Mar 2008: Rather than directly op-timize the interpolation weights, their prior distribution and the as-sociated hyper-parameters are optimized.

13 Mar 2018: Please see Fig 1 for an illustration ofthese operations. We do not consider the other plausible op-erations for architectural refinement of CNN; for instance,arbitrary connection patterns between two layers ... 2. We introduce a strategy that starts with

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.

13 Mar 2018: The tworight columns show the update actions whichmust be performed for the desired tracking op-eration.

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13 Mar 2018: engineering or graph op-timisation. ... This demonstrates that learning with the op-timum scale factor leads to the convnet uncovering a more accuratepose function.

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

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

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9 Sep 2013: σ ,. 〈logl,. αTλll. 〉. (16). Notice that the last element of the tuple now is a scalar value, which makes the op-erations and (which are similar to (15) and straightforward to

13 Mar 2018: engineering or graph op-timisation. ... This demonstrates that learning with the op-timum scale factor leads to the convnet uncovering a more accuratepose function.

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

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13 Mar 2018: This op- timisation takes into account image gradient in- formation and modifies image point coordinates in order t o position primitive edges along image edges.

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9 Aug 2005: No. Adaptation Utterances. Speaker IndependentSpeaker DependentSpeaker Adapted. 3 Iu%%&'&6"%q94$h%"Q%{Q%hX&'&%&wJ68(S)9"i(ON"&RJ6'w&>xv%'Op ... f"1(Oo$NfhhfJc6>oNQOI&'0LoNM%hon&('6e1N(OP"&'4wQ%%"Q%)/0'65h%/&N"(ORh65'f"nr(IwQ%h4&('%"y(6y('In]o$hXhfwL(Orzo)

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16 Feb 2008: with reliable verbatim transcripts. However, accurately transcribed training data. are not always available and manually generating them is not always a feasible op-. ... The uncertainty in speech translation is due to the ambiguity in selecting the op-.

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.

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.

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13 Mar 2018: path-length. to train data i.e. good generalisation, however, it is not op-timal in classification time. ... 2008). Random kitchen sinks: replacing op-timization with randomization in learning. In Proc.

13 Mar 2018: Huffman coding [17] is related to our op-timisation. It minimises the weighted (by region prior in our problem) path length of code(region).

13 Mar 2018: Our implementation has been optimizedfor speed at an algorithmic level by use of second order op-timizers, and by limiting the number of polygon clippingsrequired, but has not been micro-optimized.

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13 Mar 2018: engineering or graph op-timisation. ... This demonstrates that learning with the op-timum scale factor leads to the convnet uncovering a more accuratepose function.

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9 Aug 2005: Variable-length category-basedn-grams for language modelling. T.R. Niesler and P.C. Woodland. CUED/F-INFENG/TR.215. 30 April 1995. Cambridge University Engineering Department. Trumpington Street, Cambridge, CB2 1PZ. trn@eng.cam.ac.uk.

13 Mar 2018: Please see Fig 1 for an illustration ofthese operations. We do not consider the other plausible op-erations for architectural refinement of CNN; for instance,arbitrary connection patterns between two layers ... 2. We introduce a strategy that starts with

13 Jun 2013: Section 3 discusses op-tions to adapt TANDEM systems. Experiment and results arediscussed in section 4 with the conclusions in section 5.

19 Dec 2006: Op-erations Room noise from the NOISEX-92 database was addedat the waveform level.

13 May 2013: The way to achieve this robustness is to utilize in-terest points in computing the descriptor as op-posed to the raw image data.

8 Mar 2000: 3.4. Variability of decode speed. Another concern when designing a system for guaranteed op-eration in under 10 times real time is the variability in decod-ing speed over different

11 Jan 2008: Rather than directly op-timize the interpolation weights, their prior distribution and the as-sociated hyper-parameters are optimized.

20 Feb 2018: NFp;. 2where Q is the set of all phone models and NF(p)the number of frames in the acoustic segment Op. ... Hence, the denominator score is de-termined by simply summing the log likelihood perframe over the duration of Op.

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15 Jun 2018: As described in Section 4 interpolation weights can be op-timised alternatively by maximising the average mapped con-fidence score on the VWB data.