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13 Mar 2018: CACM, 24(6):381–395, June 1981. [6] C. Harris and M. Stephens. A combined corner and edge detector.

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: The weights control how mucheach jointi affects the transformation of the vertex [24]. ... Eurographics EG’05),24(3):439–448, Aug. 2005.1, 2. [22] S. Seitz, B. Curless, J.

13 Mar 2018: Belongie,J. Malik, and J. Puzicha. Shapematchingandobjectrecognitionusingshapecontexts. IEEE Trans.PatternAnalysisand Machine Intell., 24(4):509–522,April 2002.

13 Mar 2018: Mach. Intell., vol. 24, no. 2, pp.237–267, Feb. 2002. [4] T. ... Pattern Anal. Mach. Intell., vol. 24, no.7, pp. 881–892, Jul. 2002.

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.

20 Feb 2018: 1.2% 2.0%Request 17.4% 24.5% 18.4% 24.4%. ... 24, no. 4, pp. 562–588, 2010. [22] J Peters and S Schaal, “Natural Actor-Critic,” Neurocomput-ing, vol.

20 Feb 2018: on Mancorpora)a 91.40 90.17 90.24. 90.20Auto (Google MT) 90.81 90.77 87.72 89.223. ... 24, no. 2, pp. 150–174, April 2010. [8] P. Koehn, H.

20 Feb 2018: 0.24. 0.22. 0.20. 0.18. 0.16. Log-. likel. ihoo. dpe. rmic. ro-tu. ... 24, no. 4, pp. 562–588, 2010. [14] SpaceBook. EC FP7/2011-16, grant number 270019.

13 Mar 2018: average 92.0 64.1 58.3 17.0std 7.8 9.2 24.3 8.8. video sequences of the person in arbitrary motion (signif-icant translation, yaw and pitch, ... cluded and expression variant faces from a single sample per class.PAMI, 24(6), 2002.

13 Mar 2018: 2005. Ex-pressive speech-driven facial animation. ACM TOG 24, 4, 1283–1302. WANG, L., HAN, W., SOONG, F., AND HUO, Q.

20 Feb 2018: Computer Speech and Lan-guage 24:150–174. Xiaodong Zhang and Houfeng Wang. 2016.

13 Mar 2018: 24]. Taking the latterapproach, we match manifolds using canonical correlations.Canonical Correlation Analysis (CCA) (also called canoni-. ... In Proc. ACCV, pages 551–560,Hyderabad, India, January 2006. [24] L. Wolf and A.

20 Feb 2018: Computer Speech and Language, 24(2):150–174.

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: wTα,i,wTθ,i]T C. n {1,. ,N}Parameter update:. 24: αi1 αi1 βαwα,i25: θi1 θi1 βθwθ,i26: end for.

20 Feb 2018: Given the 8 subgoals (excluding the “name” subgoal) in the domain, there are 24 slot-level summary actions in total.The global summary actions implement other actions which cannot be associated ... wTα,i, wTθ,i]T C n {1,. , N}. Parameter update:24:

13 Mar 2018: In this work, FMMs are synthetically repopulated in a manner that achieves bothhigher manifold sample density, as well as some generalization to unseen modesof variation (see work by Martinez [24], and ... 24] A. M. Martinez, Recognizing imprecisely

13 Mar 2018: #"$%& '%( ) ,-./01 23. 465785:9<;>=@?ACB DE5:FG5:H:5:IKJMLNLPO 7Q5SR;UT:JMVWVYXZA. [:S]_ acb>d]ce)bSf ghei jke]']_a>jkeimlone)jqpN]_acrWjqbUsf gutNdKvma>jqw)iN]xlotyxdzv)a>jqw)iN]Nlot{:|2}MlnSK]_acb>d]_e)bf gutfNdE)bWjkei)loSNgf acw-{.acf@f

20 Feb 2018: 24, pp. 562–588, 2010. [3] G. Aist, J. Allen, E. Campana, C. ... 24] M. Henderson, M. Gašić, B. Thomson, P. Tsiakoulis, K.Yu,and S.

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: 24] P. S. Penev. Dimensionality reduction by sparsification in a local-features representation of human faces. ... Ross and A. Jain. Information fusion in biometrics.PatternRecognition Letters, 24(13):2115–2125, 2003.

20 Feb 2018: 6% 24.6% 14.7% 9.6%. ... Length (s) Turns/call Words/turn. SYS1 control 155 18.29 2.87 (2.84) SYS1 live 111 16.24 2.15 (1.03) SYS2 control 147 17.57 1.63

20 Feb 2018: POMDP-based Hidden Information State (HIS) DialogueSystem [22, 24]. ... of ICASSP, Honolulu, HI, 2007. [24] B. Thomson, J. Schatzmann, K.

20 Feb 2018: 24, no. 2, pp.150–174, 2010. [5] B. Thomson and S. Young, “Bayesian update of dialogue state:A POMDP framework for spoken dialogue systems,” ComputerSpeech and Language, vol. ... 24, no. 4, pp. 562–588, 2010. [6] M. Gašić, C. Breslin, M.

13 Mar 2018: 2005. Ex-pressive speech-driven facial animation. ACM TOG 24, 4, 1283–1302. WANG, L., HAN, W., SOONG, F., AND HUO, Q.

20 Feb 2018: A similar approach is takenin [24], except that both slot values and their complements areused to build a frame. ... R(θ) = 1N. Nn=1. Tn1t=0. θ log π(ânt |bnt ,θ)Q(bnt , ânt ) (24).

13 Mar 2018: 3-24 Single Lens Stereo with a Biprism. Doo Hyun Lee, In So Kweon", Roberto CipollaA.

20 Feb 2018: vn(s) = r(s, π̂(n)) γ. s′S. oO. p(s′|s, π̂(n))p(o|s′, π̂(n))vl(n,o)(s′) (8.24). ... This style of execution is distinct frompolicy iteration, in which the nodesand links of the controller are changed and the controller isre-evaluated

13 Mar 2018: Mach. Intell., vol. 24, no. 2, pp.237–267, Feb. 2002. [4] T. ... Pattern Anal. Mach. Intell., vol. 24, no.7, pp. 881–892, Jul. 2002.

20 Feb 2018: Computer Speech and Language,24:562–588. Jason D. Williams and Steve Young. 2007.

20 Feb 2018: In mostcases, a data-driven approach is followed, either by detect-ing/annotating emphasized words in existing corpora [23, 10] orby collecting speech corpora specifically designed for emphasismodeling [24]. ... Appointment Booking Task

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

13 Mar 2018: usingmethods such as the Hungarian algorithm [25], greedy bi-partite matching [24], min-cost network flow [8, 26], K-Shortest Paths [4], or discrete-continuous Conditional Ran-dom Fields (CRF) [19]. ... Hu. Multi-target tracking byrank-1 tensor

20 Feb 2018: 24, no. 2, pp. 150–174,2010. [6] W. Eckert, E. Levin, and R. ... 9] O. Pietquin, M. Geist, S. Chandramohan, and H. Frezza-Buet,“Sample-Efficient Batch Reinforcement Learning for DialogueManagement Optimization,” ACM Transactions on Speech

20 Feb 2018: Computer Speech andLanguage, 24(4):562–588. Zhuoran Wang and Oliver Lemon. 2013. A simpleand generic belief tracking mechanism for the Dia-log State Tracking Challenge: On the believabilityof observed information.

20 Feb 2018: 24, pp. 562–588, 2010. [20] M. Lukoeviius and H. Jaeger, “Reservoir computing approachesto recurrent neural network training,” Computer Science Review,vol. ... abs/1412.2306, 2014. [24] G. Mesnil, Y. Dauphin, K. Yao, Y. Bengio, L.

20 Feb 2018: When errors are correlated belief tracking is less accurate be-cause it tends to over-estimate alternatives in the N-best list[24]. ... 24, no. 4, pp. 562–588, 2010. 17. T. Minka, “Expectation Propagation for Approximate Bayesian Inference,” in

20 Feb 2018: 52 class n-gram 26.3 25.0 24.9 HVS_52 21.7 20.4 20.1. Table 1: Perplexity for models of varied stack depths trained for 250 iterations.

20 Feb 2018: T - R 0.54 0.22 0.24. R - O 0.52 0.31 0.17.

20 Feb 2018: where. x(d)q = 2. “c(d)q. Dc(d)q. E”(v(cq) v(c)) p(d)v. (24). 4.3.

20 Feb 2018: 24, no. 4, pp. 562–588, 2010. [13] M Gašić, C Breslin, M Henderson, D Kim, M Szummer,B Thomson, P Tsiakoulis, and S Young, “POMDP-based dia-logue manager adaptation

20 Feb 2018: Mixed excitation using STRAIGHT was employed [12].The speech features used were 24 Mel-Cepstral spectral coefficients,the logarithm of F0, and aperiodic components in five frequencybands (0 to 1, 1

20 Feb 2018: 24, no. 2, pp. 150–174, 2010. [9] B. Thomson and S. ... 24, no. 4, pp. 562–588, 2010. [10] M. Gǎsić, S. Keizer, F.

20 Feb 2018: Sec. 2. the reward [20, 21, 22, 23] by using the PARADISE frame-work [24]. ... 2356–2361. [24] M. Walker, D. J. Litman, C. A. Kamm, and A.

20 Feb 2018: 24, no. 4, pp. 562 – 588, 2010. [2] R. Sutton and A.

20 Feb 2018: Proc. ICASSP, Taipei, Taiwan. Thomson, B. & Young, S. (2010)“Bayesian Update of Dialogue State: A POMDP framework for spoken dialogue systems.” Computer Speech and Language 24(4):562-588.

20 Feb 2018: 6. RELATED WORK. In machine learning in general much research has looked atadaptation of statistical models [21, 22, 23] however researchinto adaptation of SDS components to new domains [24, 25,26, ... 24, pp.562–588, 2010. [16] Milica Gašić and

20 Feb 2018: F1 ICE. Slot4 95.29% 90.89% 95.72% 93.24% 0.478 89.92% 74.73% 61.56% 67.51% 0.743. ... Task - - - - - 97.12% 83.24% 64.93% 72.95% 0.175.

20 Feb 2018: 24,no. 4, pp. 562–588, Oct. 2010. [7] Jost Schatzmann, Statistical user and error modellingfor spoken dialogue systems, Ph.D.