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13 Mar 2018: 50 100 150 200 250 300 350. 50. 100. 150. 200. ... 200. 250. Figure 3. Examples of the covariances in image 2, for inliersto two motion hypotheses.

20 Feb 2018: The results are given in Fig. 2. 0 200 400 600 800 1000 1200 1400 1600Training dialogues. ... based adaptation can restore a system tooptimal performance within 200 to 300 adaptationdialogues.

20 Feb 2018: The results indicate that the SL-model couldwork quite well with humans, but was improved byRL on the 200 training dialogues.

30 Mar 2007: m). 0 50 100 150 200 2503. 2.5. 2. 1.5. 1. ... ated. tilt. angl. e (d. egre. es). 0 50 100 150 200 2501.5.

20 Feb 2018: 33.5. 34. 34.5. 35. 35.5. 36. 36.5. 37. 37.5. 0 200 400 600 800 1000 1200 1400 1600 1800 2000.

23 Sep 2003: The Hub-5 systems developedin the past few years ran between 200 and 300xRT and em-ployed 6 to 8 rescoring branches for system combination. ... pass run timeCoding Segmentation 0.068 xRTPass1 0.890 xRTVTLN 0.387 xRTPass2 3.178 xRTPass3.1 Adapt 1.422

20 Feb 2018: NonNativeA: Chinese sentences 11-20 and 31-40 spoken bythe first 10 native English speakers, 200 utterances in to-tal.

5 May 2000: triphone quinphoneHub4 eval’97 0.302 0.163Hub5 dev’98 0.191 -0.026Hub5 eval’98 0.104 -0.200. ... triphone quinphonepost tree post tree. time dep. 0.104 0.234 -0.200 0.188confnet 0.000 0.213 -0.396 0.198.

19 May 2014: A single template matching at a given location typically costs around 200 additions and one division operations- inexpensive. •

26 Apr 2022: mark edges. 0 200 400 600 800 1000 1200 1400 1600 1800 2000. ... Ker. nel. 0 200 400 600 800 1000 1200 1400 1600 1800 2000.

20 Feb 2018: Table 2: Performance of template selection. (p=0.8). Y-clustering (p=0.8)#templates 200 400 600 800 1000 1827.

9 Aug 2005: de. f1. f2. 0 100 200. 0.4. 0.2. 0. 0.2. 0.4. ... 0 200 400 600 800 1000. 1.5. 2. 2.5. Training epochs.

9 Aug 2005: Successes. Collisions. Figure 4: Performance improvement with training. In thefirst 200 cycles, only the three elemental tasks were pre-sented to the agent. ... During the first 200 cycles, the Q and gating modules wereupdated in every time-step.

20 Feb 2018: Usingapproximately 250 linear support vector machine classifiers imple-mented in Java on a Quadcore Pentium 2.4 GHz, each utterance wasparsed in less than 200 ms on average, for both evaluation

15 Jun 2018: The proposed relevance assessment model was implementedin Tensorflow [27]. It consists of 2 BiRNN encoders with400 LSTM recurrent units with hyperbolic tangent (TanH) non-linearities, 200 for the forward states and ... embeddings. Thebinary classifier

10 Nov 2015: 100 200 300 400 500 600 700 800500. 1000. 1500. 2000.

29 Sep 2006: 8. 0 100 200 300 400 500 600. 0. 0.2. 0.4. ... ovar. ianc. e. window length = 50250500. (a). 0 100 200 300 400 5000.

29 Apr 2024: References. [1] Control-DAG: Constrained decoding for non-autoregressive directed acyclic T5 using weighted finite state automata, Jinghong Chen, Weizhe Lin, Jingbiao Mei, and Bill Byrne, 2024. To appear at NAACL’24. The Directed Acyclic

5 Jun 2002: MPE Training Results (I). Train eval98 eval98 changeMLE 41.8 46.6 –MMIE 30.1 44.3 -2.3MMIE (τ =200) 32.2 43.8 -2.8MPE (τ =50) 27.9 ... Train eval98 eval98 changeMLE baseline 47.2 45.6 –MMIE 37.7 41.8 -3.8MMIE (τ =200) 35.8 41.4 -4.2MPE (τ =100) 34

10 May 2000: BRF is run on the parallel collectionadding the best 200 new terms taken from the top 10 doc-uments to the original document with a term frequencyequal to 1.

29 Jul 2001: Different values oft and rwere investigated for the document expansion stage, but thereproved to be little difference between the results, so the valuesof t = 200, r = 10 were chosen to be ... 31 51.31s1 - - 12 26 59.11 57.14 54.04 50.65s1 200 10 - -

29 Apr 2011: b) constant density. 0 100 200 300 400 500 600 700 8000.5. ... 0 100 200 300 400 500 600 700 8000.5. 0.625. 0.8.

10 Oct 2001: 100 terms with DBRF1 t=200, r=10, tf=1 ; DBRF2 t=400, r=10, tf=1 ; DBRF t=200, r=20, tf=0.5 Parallel corpus recorded pre test collection, ... t=200 r=20, tf=0.5 (same as T8) X: For Trec-8 -> Nov 96 to Jan 98 (pre-trec-8) = 60,000 stories (129614 terms).

15 Jun 2018: 1. 2. 3. 4. 5. 6. 7. 8. 0 100 200 300 400 500 600.

19 Apr 2017: Thisarchitecture is a Deep Density Network (DDN),. 3. 200. 201. 202.

13 Mar 2018: Figure 2:Parallax used to cluster input face images (a). The distributions ofη (1) for the three clusters, computedfrom 200 manually labelled frames is shown in (b). ... 20. 40. 60. 80. 100. 120. (a) (b). 0 100 200 300 400 500 600 700 800 900 10000.

18 May 2017: 4. 6. 0 50 100 150 200 250 300Instances. 0.3. 0.4. ... 4. 2. 0. 2. 4. 6. 0 50 100 150 200 250 300Instances.

10 Nov 2015: 0 50 100 150 200 250 3001. 0.8. 0.6. 0.4. 0.2.

29 Nov 2017: 44/63. Unique-Arcs-Per-Second Pruning - Impact. 0. 50. 100. 150. 200. 250.

7 Nov 2014: He has authored 3 books, edited 6volumes and co-authored more than 200 papers.

20 Feb 2018: Totrain the policy, the NAC algorithm was executed for 200 iter-ations at a 40% error rate and in each iteration 4000 dialogueswere simulated.

20 Feb 2018: Table 4 Subjective evaluation results. System # Dialogoues # Successful % Success Subjective WER MDP 200 130 65.00 3.37 46.83 POMDP 199 141 70.85 3.22 43.93.

9 Aug 2005: 600. 700. 800. 900. 1000. 0 100 200 300 400 500 600 700 800 900 1000. ... 200. -100. 0. 100. 200. 300. 500 1000 1500 2000 2500 3000 3500 4000.

6 Oct 2008: 20 15 10 5 0 5 10 15 200. 2.

13 Mar 2018: Furthermore, since the size of the ROIs may vary from one videoto the other, the final MGO images are resized to the corresponding refined images withstandard size (which is 200 200 ... 3.2 Dimension Reduction by PCA. In order to reduce the number of

19 May 2014: Cambridge Heath Excavation site. CSIC - Construction Progress Monitoring. • 100-200 photos collected of site per day over the course of 15+ days of activity.

13 Mar 2018: 11, NOVEMBER 1999. 0. 50. 100. 150. 200. 250. tirnc-to-contact (frames). ... upper fp 6.10. lowcr fp. 0 100 200 (C). Fig. 11.

20 Feb 2018: 0 200 400 600 800 1000 1200Dialogues. 30. 20. 10. 0.

17 Oct 2022: X=200, u=200, v = 450. 200 =su. s=. 200p11 p12200p31 p32. , ... 50 1 0 0 5000100 1 0 0 14000200 1 0 0 400000 0 50 1 125000 0 100 1 340000 0 200 1 90000.

3 Aug 2010: 10. 020. 30. 40. 50. 60. 70. 100 200 300 400 500 600. ... 11. 020. 30. 40. 50. 60. 70. 100 200 300 400 500 600.

13 Mar 2018: 100. 150. 200. 250. 300. 350. 400. a)0 100 200 300 400. ... 0. 50. 100. 150. 200. 250. 300. 350. 400. b). Figure 3: Transfer of points and lines.

10 Oct 2007: IEEE TRANS. ON SAP, VOL? , NO? ,? 200? 1. Automatic Model Complexity Control Using. ... 200? 7. as the average phone correctness of all possible word sequences {W̃},.

19 Jan 2012: 0 50 100 150 200 2500. 20. 40. 60. 80. 100.

7 Oct 2009: The 260K word-list. Training data Test Acc. (%)200 hours 63.551350 hours 65.16. ... Table 1. Frame accuracies of the 200 hours and the 1350 hours MLP.

24 Aug 2004: 2 SYSTEM 4. 0 50 100 150 200 250 300 350 4001.5. ... 1 0.5 0 0.5 1500. 450. 400. 350. 300. 250. 200.

20 Feb 2018: 5We ran the grid search over λreg [103,. ,1010],δsim,δant [0,0.1,. ,1.0], k1,k2 [10,25,50,100,200]. ... 100 200 300 400 500 6000. 20. 40. 60. 80. Number of training dialogues.

17 Jan 2003: 100. 200. 300. 400. 500. 600. 700. 800. Figure 1: Distribution of #Gauss among states. • ... LogDet> -0.0051<BlockInfo> 1 3<Block> 1. <XForm> 3 31.01 0.30 0.200.10 0.97 0.200.10 0.20 1.10.

9 Aug 2005: 0 2 4 6 8 10 12. x 106. 150. 200.

10 Nov 2015: Simple Speech Features. 0 50 100 150 200 250 3001. 0.8.

20 Feb 2018: in-domain 250 3.400.08 62.490.49 9.01 0.05in-domain 500 4.200.08 67.530.47 9.230.04mutual 500 4.600.11 68.080.47 ... 0 50 100 150 200 250 300 350Dialogues. 10. 5. 0.