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Latent Intention Dialogue Models Tsung-Hsien Wen 1 * Yishu ...
mi.eng.cam.ac.uk/~sjy/papers/wmby17.pdf20 Feb 2018: goodbye. ( 1 0.24) you are welcome. goodbye. ( 85 0.19) is there anything else i can help you with? -
Neural Belief Tracker: Data-Driven Dialogue State Tracking Nikola…
mi.eng.cam.ac.uk/~sjy/papers/mowt17.pdf20 Feb 2018: Computer Speech and Lan-guage 24:150–174. Xiaodong Zhang and Houfeng Wang. 2016. -
afftensor.dvi
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1998-BMVC-Mendonca-affine-tensor.pdf13 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. -
SynthCam3D: Semantic Understanding With Synthetic Indoor Scenes Ankur …
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-CVPR-SynthCam3D.pdf13 Mar 2018: Shawe- Taylor, R. Zemel, P. Bartlett, F. Pereira, andK. Weinberger, editors, Advances in Neural Informa-tion Processing Systems 24, pages 109117. -
Face Set Classification using Maximally Probable Mutual Modes Ognjen…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-ICPR-Arandjelovic-faceset.pdf13 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. -
hci09.dvi
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2009-HCI-Stenger.pdf13 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. -
Towards Using Conversations with Spoken Dialogue Systems in…
mi.eng.cam.ac.uk/~sjy/papers/lygk16.pdf20 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 -
book.dvi
mi.eng.cam.ac.uk/~sjy/papers/wipy06.pdf20 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 -
MYA '98 IAPR Workshop on Machine Vision Applications, Nov. ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1998-MVA-singleprism.pdf13 Mar 2018: 3-24 Single Lens Stereo with a Biprism. Doo Hyun Lee, In So Kweon", Roberto CipollaA. -
PROC IEEE, VOL. 101, NO. 5, 1160-1179, 2013 1 ...
mi.eng.cam.ac.uk/~sjy/papers/ygtw13.pdf20 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). -
An Expressive Text-Driven 3D Talking Head
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2013-Siggraph-Expressive-3D-VTTS.pdf13 Mar 2018: 2005. Ex-pressive speech-driven facial animation. ACM TOG 24, 4, 1283–1302. WANG, L., HAN, W., SOONG, F., AND HUO, Q. -
Camera calibration from vanishing points in images of architectural…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1999-BMVC-photobuilder-copy.pdf13 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. -
system.dvi
mi.eng.cam.ac.uk/~sjy/papers/heyo06.pdf20 Feb 2018: 24. 0.6 0.7 0.8 0.9 10.5. 0.6. 0.7. 0.8. 0.9. 1. -
JournalPaperDRAFTV0.20
mi.eng.cam.ac.uk/~sjy/papers/wipy05a.pdf20 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. -
IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B:…
mi.eng.cam.ac.uk/~cipolla/publications/article/2006-SMC-localisation.pdf13 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. -
IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. ...
mi.eng.cam.ac.uk/~sjy/papers/scyo09.pdf20 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 -
Uncertain RanSaC Ben Tordoff and Roberto CipollaDepartment of…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2005-MVA-Tordoff.pdf13 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. -
Natural Actor and Belief Critic: Reinforcementalgorithm for learning…
mi.eng.cam.ac.uk/~sjy/papers/juty11.pdf20 Feb 2018: wTα,i,wTθ,i]T C. n {1,. ,N}Parameter update:. 24: αi1 αi1 βαwα,i25: θi1 θi1 βθwθ,i26: end for. -
Reinforcement learning for parameter estimation in statistical spoken …
mi.eng.cam.ac.uk/~sjy/papers/juty12.pdf20 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: -
91_20090306_170604
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2009-MVA-Mavaddat.pdf13 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
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