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20 Feb 2018: In this section, a Gaussianprocess-based reward estimator is described which uses active learning tolimit intrusive requests for feedback and a noise model to mitigate the effectsof inaccurate feedback [24]. ... 24. Figure 13: The number of times each

13 Mar 2018: Figure 2: Resultsfrom the existing SpaceCarving algorithm using different thresholdsettings. The voxel array size was , and the thresholdswere 48,32,24,16(of 255)respectively. ... Figure 4: Resultsfrom the existing SpaceCarving algorithm using different

13 Mar 2018: Fortu-nately a number of efficient approximate algorithms havebeen proposed such as graph cuts [1] and belief propaga-tion [24]. ... 1194–1201. [24] J. Sun, H,-Y Shum, N.-N. Zheng, Stereo matching using beliefpropagation, in: Proceedings of ECCV, 2002,

20 Feb 2018: U| 103 and |M| 103. (24). Goals are composed ofNC constraints taken from theset of constraintsC, andNR requests taken from the setof requestsR.

13 Mar 2018: 21] for upper bodypose estimation. In [24] it is suggested to partition the parameter spaceof a 3D hand model using a multi-resolution grid. ... range. At detection rates of 0.99 the false positiverate for the centre template is 0.24, wheras it is

20 Feb 2018: The Pietquin model. Train TestPrecision Recall Precision Recall. BIG 19.74 24.11 17.83 21.66LEV 43.11 35.07 37.98 31.57PTQ 45.00 36.35 40.16

20 Feb 2018: Surprised Sad Angry. wlex 13.67 12.30 18.74wwpos 24.52 11.29 18.47wspos 11.33 4.91 3.31wpofs 1.13 4.82 8.82wppofs 24.27

20 Feb 2018: At this point, the dialog state probabilities given by equation 24 are omputed. ... P1. find P2. (a) task 1.0. P1 b=1.0. b=0.7. b=0.3. b=0.24.

20 Feb 2018: 1)(|( erruincorrecterrucorrect pacppacp = (24). In the MDP context, we assume the confidence score buckets are formed without access to a prior. )(

13 Mar 2018: Object View! normalised 24 2 4 H H #cube. Z n @ D$L Z¡ LD ' n$ $ n[ D[ n[ ' D ¡¢ J n D Z n D @ n L 3LD Z ... variousimages! normalised is expectedto beapproximatelyone. Note that the variationsin. H H are much larger then variationsin 24 2

20 Feb 2018: THE HIDDEN INFORMATION STATE SYSTEMA block diagram of the HIS system is shown in Figure 13 [23], [24]. ... The history states record grounding and query status information but the details are not relevant here (see [24]).

13 Mar 2018: 35 and P02 =. 24. a11 a12 a14 a13a21 a22 a24 a230 0 0 a33. ... F =. 24. 0 0 a24a330 0 a14a33. a24a11 a14a21 a24a12 a14a22 a24a13 a14a23.

20 Feb 2018: 50.00 24.39 25.61Performance 43.90 25.61 30.49.

13 Mar 2018: Shawe- Taylor, R. Zemel, P. Bartlett, F. Pereira, andK. Weinberger, editors, Advances in Neural Informa-tion Processing Systems 24, pages 109117.

20 Feb 2018: goodbye. ( 1 0.24) you are welcome. goodbye. ( 85 0.19) is there anything else i can help you with?

20 Feb 2018: Corpus Mean (SD) Grades Correlationn Human Auto R p. L 21 24.2 (3.1) 17.1 (1.9). ... 69C 50 24.0 (3.0) 15.6 (3.3). 59. 01. Table 2: Mean (standard deviation) of human andautomated grades, along with Pearson’s correla-tions between the human and

13 Mar 2018: scaling parameters, i. In particular:. 24. u1 u2 u3v1 v2 v31 1 1. ... u4v41. 35 =. 24. p11 p12 p13 p14p21 p22 p23 p24p31 p32 p33 p34.

13 Mar 2018: 6] Cao, Y., Tien, W., Faloutsos, P. and Pighin, F., “Expressivespeech-driven facial animation”, ACM TOG, 24(4):1283–1302,2005.

20 Feb 2018: J. D. Williams, P. Poupart, S. Young 24 March 2005. University of Cambridge, Dept. ... 24. not “brittle” – i.e., they do not fail catastrophically as the actual value of errp deviates from that used in training.

20 Feb 2018: 24. 0.6 0.7 0.8 0.9 10.5. 0.6. 0.7. 0.8. 0.9. 1.

13 Mar 2018: Comm. ACM, 24(6):381–395, 1981. [5] G.H. Golub and C.F. Van Loan, editors. ... Int. Journal of Computer Vision, 24(3):271–300,September 1997. [16] G. Xu and Z.

13 Mar 2018: 95. Table 2: Feature definitions. Features 1-24 Differences of mean and standarddeviation features based on Yuilleand Chen box features. ... Features 24-82 Differences of mean and standarddeviation features of 18 blocks, de-noted as ‘Extended

20 Feb 2018: and for the transition into. Inspired byagenda-based approaches to dialogue management [23], [24]the user state is factored into an agenda and a goal suchthat where consists of constraints. ... 24)The two update steps can be treated separately and

13 Mar 2018: Shawe- Taylor, R. Zemel, P. Bartlett, F. Pereira, andK. Weinberger, editors, Advances in Neural Informa-tion Processing Systems 24, pages 109117.

13 Mar 2018: This paper presents a methodfor hand tracking that estimates the pose of a 3D hand modelconstructed from truncated quadrics by using an UnscentedKalman filter [18, 24]. ... Originally published in1952. [24] E. A. Wan and R. van der Merve.

13 Mar 2018: a) Detail of a Chinese bronze vase (24 input images. of 6 Mpixels, C2RMF, Paris). ... A quick answer would be to use the ratio of areasbetween these two silhouettes as in [24]:.

13 Mar 2018: If enough epipolar tangencies are available, the epipolar geometry can be estimatedand hence the motion can be determined up to aprojective transformation [23,24].The intrinsic parameters [17] of the cameras ... 563–578. [24] R. I. Hartley, Estimation

13 Mar 2018: Puzicha. Shape matching and object recognition using shape contexts. PAMI,24(24):509–522, 2002. ... PAMI, 24(5),2002. [4] P. Dollár, Z. Tu, H. Tao, and S.

13 Mar 2018: 40.31% 16.47% 16.47% 0.54 1Miss Marple4 32.35% 24.58% 24.58% 0.45 1Miss Marple5 66.75% 8.69% 8.69% 0.77 1Miss Marple6 ... 01% 24.48% 0.60 5Averages 54.83% 23.84% 25.86% 0.63 4.4.

13 Mar 2018: Comm. of the ACM,24(6):381–395, 1981. 3. [4] M. Guttman, L. Wolf, and D.

13 Mar 2018: Pattern Analysis andMachine Intelligence, 24(6):748–763, 2002. [22] S. Obdržálek and J. ... ACM Siggraph, 2004. [24] Carsten Rother, Sanjiv Kumar, Vladimir Kolmogorov,and Andrew Blake.

20 Feb 2018: English 640 5 246 11 356 24 196 9German - - 135 2 277 13 175 6Italian - - - - 159 7 220 11. ... Word Vectors English German Italian RussianMonolingual Distributional Vectors 0.32 0.28 0.36 0.38COUNTER-FITTING: Mono-Syn 0.45 0.24 0.29 0.46COUNTER-FITTING:

3 May 2018: vgg16 [base] 7.10 ms 140 Hzresnet101 [base] 33.06 ms 30.24 Hz. ... CoRR,abs/1502.01852, 2015. [24] J. H. Hosang, R. Benenson, P. Dollár, and B.

20 Feb 2018: Similarly, attempting to exploit the factoredform of the SDS-POMDP in optimization (using e.g., [24],[25]) is unlikely to succeed since most of the growth isdue to one component (the

14 May 2018: outliers in the output of the corner detector. 24 Engineering Part IB: Paper 8 Image Matching.

13 Mar 2018: recognition from face motion manifolds.Image and Vision Computing, 24(5),. 2006. (in press). ... 24] R. O. Duda, P. E. Hart, and D. G. Stork.Pattern Classification.

13 Mar 2018: These likelihoods are then used to weight a robust estimation of the scale-translation transforma-tion in the guided sampling and consensus scheme outlined in [24]. ... 24] B. Tordoff and D.W. Murray. Guided sampling and consensus for motion estimation.

13 Mar 2018: Scovanner et al. [24] employ a two-dimensionalhistogram to describe feature co-occurrences. ... Scovanner et al. [24] proposeda three-dimensional version of Lowe’s popular SIFT descriptors [10].

13 Mar 2018: VS: STTLTT 0.20 0.24 0.12 0.74 0.76 0.79 0.72 0.77 0.71 0.71. ... analysis. PAMI 24 (2002) 603–6195. Felzenszwalb, P.F., Huttenlocher, D.P.: Efficient graph-based image segmentation.

13 Mar 2018: This initialization is subsequently used as starting point for nonlinearleast-squares optimization (termed bundle adjustment) over all unknowns (see [24] fora review). ... In: Advances in Neural Information Processing Systems 24 (NIPS 2011), pp.406–414

13 Mar 2018: points ux, uy, and uz given by. ux 100. 24 35; uy 010. ... 24 35: 20Therefore, 8; 2 IR, the point. X ÿsin=2; ; cos=2T.

13 Mar 2018: We used 24 LEDs arranged in 2 concentric rings of radii3cm and 5cm respectively. ... Experimental analysis of brdf models. In EGSR,2005. [24] R. Or-el, G.

13 Mar 2018: Figure 2: Resultsfrom the existing SpaceCarving algorithm using different thresholdsettings. The voxel array size was , and the thresholdswere 48,32,24,16(of 255)respectively. ... Figure 4: Resultsfrom the existing SpaceCarving algorithm using different

13 Mar 2018: to sample size)1 5 10 15 20 24. Control set-up 67.46 73.80 77.50 80.37 81.67 83.92Test set-up N/A N/A ... Control set-up involves batch training usingsegmented KTH data (24 samples associated with 1 subject) whiletest set-up involves retraining of an

13 Mar 2018: E(U, V) =I F(V)U:ρ+. λ1t. #Tt(V). (ut2ut3)α. p. λ2Rdisc(U, V) (24). ... Port (23.28) LB (24.04) TV (22.26) Our (23.80). Figure 9. Denoising.

13 Mar 2018: 7] M.A. FischlerandR.C.Bolles.Randomsampleconsensus:A paradigmfor modelfitting with applicationsto imageanalysisandautomatedcartography. CACM, 24(6):381–395,June1981. [8] R.I.

13 Mar 2018: Fortu-nately a number of efficient approximate algorithms havebeen proposed such as graph cuts [1] and belief propaga-tion [24]. ... 1194–1201. [24] J. Sun, H,-Y Shum, N.-N. Zheng, Stereo matching using beliefpropagation, in: Proceedings of ECCV, 2002,

13 Mar 2018: For training, we used the initialization. scheme described by [24] modified for compound layers [9]. ... To train we used the initialization. of [24] modified for compound layers [9] and batch normal-.

13 Mar 2018: 24, no. 3, pp. 383-391, 2005. [6] F. Bernardini, H. Rushmeier, I. ... ACM, vol. 24, no. 6, pp. 381-395, 1981. [15] G. Vogiatzis, C.

13 Mar 2018: 18] N. Vlassis and A Likas. A kurtosis-based dynamic approach to Gaussian mixture modeling.Systems, Max, and Cybernetics – Part A: Systems and Humans, 24(9):393–399, 1999.