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JournalPaperDRAFTV0.20
mi.eng.cam.ac.uk/~sjy/papers/wipy05a.pdf20 Feb 2018: 18 4.1 MDP BASELINE. 20 4.2 RESULTS & DISCUSSION. 22. 5 EVALUATING & IMPROVING A HANDCRAFTED POLICY. ... The MDP State Estimator is updated using a deterministic function:. ),,( MDPSESSE aosfs SE ′=′ (20). -
34 1 2 Localaffine deformation Total affinedeformation Robot…
mi.eng.cam.ac.uk/~cipolla/publications/article/2000-IJCV-visual-servo.pdf13 Mar 2018: 000000. 0"/20. 0. 00#$0. =. 0. $#$0000. 00. ( not! )0#"/200. ... 0 5 10 15 20 25 30 35. "fourier.txt". 0. 0.02. -
Simplifying very deep convolutional neural network architectures for…
mi.eng.cam.ac.uk/UKSpeech2017/posters/j_rownicka.pdf3 Jul 2018: training set of Aurora4. Model A B C D AVGDNN/clntr 2.71 43.00 24.06 58.66 45.48VDCNN-max-4FC/clntr 2.32 35.99 21.20 ... 53 39.62VDCNN-allconv/clntr 1.98 40.62 20.08 55.57 42.80. -
a) Rotation b) Isotropic Expansion c) Pure Shear 0 ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1996-BMVC-Cross.pdf13 Mar 2018: 17. 17.5. 18. 18.5. 19. 19.5. 20. 20.5. Sample Number. Tim. -
34 1 2 Localaffine deformation Total affinedeformation Robot…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2000-IJCV-visual-servo.pdf13 Mar 2018: 000000. 0"/20. 0. 00#$0. =. 0. $#$0000. 00. ( not! )0#"/200. ... 0 5 10 15 20 25 30 35. "fourier.txt". 0. 0.02. -
The Linear Transformation of LF Glottal Waveforms for Voice ...
mi.eng.cam.ac.uk/~sjy/papers/poyo08b20 Feb 2018: 0.5. 1. 0 5 10 15 20 25 30 35 40 450. ... 0.1. 0.2. 0 5 10 15 20 25 30 35 40 450. -
a) Rotation b) Isotropic Expansion c) Pure Shear 0 ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1996-BMVC-Cross.pdf13 Mar 2018: 17. 17.5. 18. 18.5. 19. 19.5. 20. 20.5. Sample Number. Tim. -
inihsampling point Image edge Active Contour Affine Stereo System ...
mi.eng.cam.ac.uk/~cipolla/publications/contributionToEditedBook/1994-CUP-uncalibrated.pdf13 Mar 2018: Controller. Controller. coordscoordscoords. 0. 0.02. 0.04. 0.06. 0.08. 0.1. 0.12. 0 5 10 15 20 25. ... derr.nonoise.h.affine". 0. 0.02. 0.04. 0.06. 0.08. 0.1. 0.12. 0 5 10 15 20 25. -
Reward-Balancing for Statistical Spoken Dialogue Systems…
mi.eng.cam.ac.uk/~sjy/papers/ubcy17.pdf20 Feb 2018: 0. 5. 10. 15. 20. 0.0. 0.2. 0.4. 0.6. 0.8. 1.0. ... domains comparing the baseline (rws = 20, w = (0.5,0.5)) with the optimised balance. -
Deep Neural Network Approach for theDialog State Tracking Challenge…
mi.eng.cam.ac.uk/~sjy/papers/hety13.pdf20 Feb 2018: Structure[] 0.6751 0.8074 0.5658. [50] 0.6679 0.8046 0.5450[20] 0.6656 0.8060 0.5394. ... Training used T =10, the full feature set,a [20, 10, 2] hidden structure and the shared ini-tialisation training method. -
Automatic Telephone Voice Analysis and TherapyLadan Baghai-Ravary and …
mi.eng.cam.ac.uk/UKSpeech2017/posters/l_baghai-ravary_poster.pdf24 Jan 2018: The measures include:. CalibrationThe VoiScan parameters for an individual can be compared with population statistics which have been calculated from 20,000 telephone calls in 12 countries. -
INDICATOR VARIABLE DEPENDENT OUTPUT PROBABILITY MODELLING…
mi.eng.cam.ac.uk/~sjy/papers/tuyo01.pdf20 Feb 2018: avg. F0 F1 F2 F3 F4 F5 FX12mix base 21.8 12.4 20.5 31.5 31.5 24.3 27.5 43.924mix base 21.3 12.2 ... relabelled training datasum 21.4 12.5 20.1 30.2 31.2 24.7 25.1 42.2full 21.4 12.5 20.1 30.6 31.0 24.6 -
User study of the Bayesian Update of Dialogue State ...
mi.eng.cam.ac.uk/~sjy/papers/tgkm0820 Feb 2018: 2) was chosen. 0 20 40 60 80 1000. 0.2. 0.4. ... 0.6. 0.8. 1MDPHDC. 0 20 40 60 80 1000. 0.2. 0.4. -
yeyo05b.dvi
mi.eng.cam.ac.uk/~sjy/papers/yeyo05b.pdf20 Feb 2018: Native: Chinese sentences 11-20 and 31-40 spoken by all 20Chinese speakers, 400 utterances in total. ... NonNativeAB: Chinese sentences 11-20 and 31-40 spoken byall 20 English speakers, 400 utterances in total. -
ICSLPDataCollection-10
mi.eng.cam.ac.uk/~sjy/papers/wiyo04b.pdf20 Feb 2018: 0. 5. 10. 15. 20. 25. 30. 35. Hi Med Low NoneWER Target. ... 0%. 20%. 40%. 60%. 80%. 100%. REPAIR ASKQ REPAIR ASKQ. Hi MedStrategy & WER Target. % -
inihsampling point Image edge Active Contour Affine Stereo System ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/contributionToEditedBook/1994-CUP-uncalibrated.pdf13 Mar 2018: Controller. Controller. coordscoordscoords. 0. 0.02. 0.04. 0.06. 0.08. 0.1. 0.12. 0 5 10 15 20 25. ... derr.nonoise.h.affine". 0. 0.02. 0.04. 0.06. 0.08. 0.1. 0.12. 0 5 10 15 20 25. -
k-Nearest Neighbor Monte-Carlo Control Algorithmfor POMDP-based…
mi.eng.cam.ac.uk/~sjy/papers/lgjk09.pdf20 Feb 2018: 0 10 20 30 40 50. Succ. essf. ul C. ompl. ... 7. 8. 9. 10. 11. 12. 13. 14. 0 10 20 30 40 50. -
Toward Multi-domain Language Generation usingRecurrent Neural…
mi.eng.cam.ac.uk/~sjy/papers/wgmr15.pdf20 Feb 2018: During decoding, we over-generated 20 utterances and selected the top 5 realisations for each DAaccording to the following reranking criteria,. ... Proceedings of the IEEE,1990. [20] Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. -
Reward Shaping with Recurrent Neural Networks for Speeding upOn-Line…
mi.eng.cam.ac.uk/~sjy/papers/svgm15.pdf20 Feb 2018: Per turn reward was set to -1and final reward 20 for task success else 0. ... In Proc of the IEEE, vol-ume 99, pages 1–20. A Training Constraint/Loss Function. -
Emotion Conversion using F0 Segment Selection Zeynep Inanoglu, Steve…
mi.eng.cam.ac.uk/~sjy/papers/inyo08.pdf20 Feb 2018: 20% 19.3% 60.7%. 21.3% 47.3% 31.3%. Figure 2: Preference scores for each F0 prediction method andemotion. ... Angry Surprised Sad Can’t decideAngry 99.3% 0.7% 0% 0%. Surprised 20.0% 66.0% 0% 14.0%Sad 0.7% 0% 96.0% 3.3%.
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