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9 Aug 2005: y (k. Hz). 20 40 60 80 100 120 140 160 180 200 2201. ... Frame. Freq. uenc. y (k. Hz). 20 40 60 80 100 120 140 160 180 200 2201.

13 Mar 2018: 200 120 143 200 120 (146) 143 (148) 146.19 (38.1) (128) (146) (15.8). ... For about thegiven number of training samples, using 200 extended regions and 100 weak-learners wouldstart hitting theoretical memory boundaries.

13 Mar 2018: on E. rror. (pi. xel). Hand ball. AdaBoostMCBoostMILSemiOABMCBQ. 100 150 200 250 300 3500. ... ition. Err. or (. pixe. l). Face. AdaBoostMCBoostMILSemiOABMCBQ. 200 400 600 800 1000 12000.

13 Mar 2018: 200 120 143 200 120 (146) 143 (148) 146.19 (38.1) (128) (146) (15.8). ... For aboutthe given number of training samples, using 200 extendedregions and 100 weak-learners would start hitting theoreti-cal memory boundaries.

9 Aug 2005: Nod. e O. utpu. t. Output Weight = -1.478. 0 200 400-1. ... A. 0 100 200-1. 0. 1. Sample No. Ampl. itude. Original Speech.

13 Mar 2018: 7. 0 50 100 150 200 250 300 350 4000.25. 0.2. ... 50. 100. 150. 200. 250. 300. 350. 400. 450. 500. Number of incremental updates.

4 Apr 2007: observationMPE trajectoryfMPEMPE trajectory. 50 100 150 200 250 3000.2. 0.1. 0. ... Dev. of pMPE trajectory. 50 100 150 200 250 300. 0.8.

12 Jul 2016: Parameter updates were averagedover a mini-batch with 200 frames and were smoothed by adding a“momentum” term of 0.9 times the previous updates.

12 Sep 2022: 2 = to rims # similarity registration canonical_L1_vertebra_8329.wrl individual.wrl n/a n/a 0 0 0 100 15 200 1 1 -1 0 0 1 0 # similarityLAD registration ... It performs 200 iterations in "review" mode, whereby the surfaces are loaded and spun around for

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.

9 Apr 2022: meter_e. 0. 100. 200. test2. 0 20 40 60 80 100 120 140Frame no. ... 0. 100. 200. test3. Ground TruthBaselineOur System. Figure 7. Real Gauge Prediction Performance.

21 Sep 2006: At. 400 200 0 200 4000. 0.01. 0.02. 0.03. 0.04. 0.05. ... a). 100 0 100 200 3000. 0.02. 0.04. 0.06. 0.08. x.

2 Nov 2023: between corners (typically 200–300 per image). 1. Unguided matching. Seed matches.

22 Mar 2017: 5.1. Acoustic Models. The full language pack (FLP) in the Babel Program contains about100-200 hours of transcribed audio training data (60-80 hoursspeech) for acoustic model training.

13 Mar 2018: 10 Fabio Galasso, Roberto Cipolla and Bernt Schiele. 1 2 4 10 20 40 100 200 4000. ... 0.2. 0.4. 0.6. 0.8. 1. AllABALTTABMLTTSTTSTTLTTSTMSTA. 1 2 4 10 20 40 100 200 4000.

13 Mar 2018: Theother parameters were set as follows: τ = 30 (2), K = 200 textons, |R| = 100 rectangles,δ1 = 0.03, δ2 = 0.25, γ1 = log 1.1, γ2 = log 1.4, λ Λ =

12 Aug 2019: 8 CONVCRFS: CONVOLUTIONAL CRFS FOR SEMANTIC SEGMENTATION. 0 50 100 150 200 250 300Epoch. ... 0 50 100 150 200 250 300Epoch. 68.5. 69.0. 69.5. 70.0.

13 Mar 2018: 200 100 0 100 200 300106. 104. 102. Horizontal position (mm).

13 Mar 2018: 2000. 2500. 3000. (b) Original clusters0 100 200 300 400 500 600 700 800 900. ... tio. (a) Raw estimate. 0 100 200 300 400 500 600 700 800 900 10000.

9 Aug 2005: A version of Equation (2) may now be. 4. 0 10 200. ... 5. 10. ||xix. j||. q v(|. |xi. x j||). 0 10 200.

11 Jan 2008: 50 100 150 200 250 300 3500. 5. 10. 15. 20.

Changes to segmentation and draw task page. • flexible number of objects in draw task, internal limit is now 200. •

13 Mar 2018: Fig. 3. RVM regression on a toy dataset. The data set consists of 200 samplesfrom three polynomial functions with added Gaussian noise. ... After RVM training, a set of around30 templates out of 200 are chosen for both, shape context and Hausdorff

13 Mar 2018: At. 400 200 0 200 4000. 0.01. 0.02. 0.03. 0.04. 0.05. ... a). 100 0 100 200 3000. 0.02. 0.04. 0.06. 0.08. x.

8 Nov 2016: 20. 40. 60. 80. 100. 120. 140. 160. 180. 200. 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10. ... 200. 400. 600. 800. 1000. 1200. 1400. 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10.

27 Jul 2020: Abstract for rosti_csl04. Computer Speech and Language, 18(2):181-200, 2004. FACTOR ANALYSED HIDDEN MARKOV MODELS FOR SPEECH RECOGNITION.

27 Jul 2020: Semi-automatic image processing facilitates alignment of the beam and wires to within a tolerance of around 200 microns, despite the considerable beam thickness.

12 May 2011: Kern. el. 0 200 400 600 800 1000 1200 1400 1600 1800 2000. ... Zero-crossings. 0 200 400 600 800 1000 1200 1400 1600 1800 2000.

18 Jan 2011: a) (b). (c) PHONG2D (d, t, µ, n = 200) (d) PHONG2D (d, t, µ, n). ... a) (b). (c) PHONG2D (d, t, µ, n = 200). (d) PHONG2D (d, t, µ, n).

13 Mar 2018: 000000. 0"/20. 0. 00#$0. =. 0. $#$0000. 00. ( not! )0#"/200.

23 Dec 2017: To builda speaker dependent lipreading system, we can use, for example, 800 utterances as trainingsamples and 200 as test samples. ... and we wouldtest on the 200 samples of speaker Y and vice versa.

19 May 2014: 0 100 200 300 400 500 600 7000. 5. 10. 15. ... 20. 25. 30. 35. 0 100 200 300 400 500 600 7000.

13 Mar 2018: Images 1 and 5200 0 200. 400. 200. 0. 200. Images 2 and 3. ... 200. Images 4 and 5. Figure8: Imagesof the ellipsesandepipolarlines after convergence.Eachfigure showsthe overlappingof images and , for -GP& 555 # and ¤@@P 555.

19 May 2014: Horse detection. ROC curve - 3.4% EER. 100 training images. 200 test images.

13 Mar 2018: Relative motion of an apparent contour. 118. a. 200-. 150-. 100 -. so •. yS S 50. y S > S 100 •. R/inm / B. / / / A. position error/mm. bB. A. - ... aMO -. 200. 150 •. 100. -2.5 -2.0. 1.5 -1.0 -OS.

30 Mar 2000: Postscript Version : Proc. TREC-7, NIST SP 500-242, pp. 191-200 (July 1999). ... Misrecognising every word will in practise give a TER of below 200% as the word ordering is unimportant, so some recognition errors will cancel out.

23 Feb 2002: Proc. TREC-7, pp. 191-200 (Gaithersburg, Maryland, 1998). 6. S.E. Johnson [Reducing Word Error Rates of Found Speech: XPERT Tool for Transcription Analysis.

20 Feb 2018: 0 200 400 600 800. 50. 55. 60. 65. In-domain InitialisationOut-of-domain Initialisation. ... 0 200 400 600 800. 40. 60. 80. In-domain InitialisationOut-of-domain Initialisation.

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.

Computer Vision and Image Understanding, 148:193-200, July 2016. K Chaiyasarn, TK Kim, F Viola, R Cipolla and K Soga.

17 Nov 2017: Eval{1,2,3} sets (about 13 hours) contain spontaneous speech from 200 speakers with Gujarati, LA Spanish and mixed L1s, respectively. ... 5. Parse Tree. 7. Conclusion. Trn3 set contains trn1 and 200 hours selected from the unsupervised set.

27 Aug 2008: Horse detection. ROC curve - 3.4% EER. 100 training images. 200 test images.

10 Nov 2015: F2) have been extracted and the hard GMM assignment. 100 200 300 400 500 600 700 800500.

17 Nov 2017: c) (d). 0 50 100 150Frame Index. 0. 100. 200. 300. ... 100. 200. 300. 400. Frequency. (H. z). k 0 = 3 k 0 = 5 k 0 = 7.

20 Feb 2018: After every batch of 200 training dialogues, the partiallytrained policies were evaluated on1000 simulated dialogues.In the case of theǫ-greedy policy the exploration was switchedoff during the evaluation. ... a pub that has a TV and allows. 100 200 300

27 Apr 2001: 400. 350. 300. 250. 200. 150. 100. 50. 0. Shift / ypixels. ... 200. 150. 100. 50. 0. Shift / ypixels. De. pth. / y.

7 Oct 2009: Frame accuracies are given foreachof the 200 hours subset MLPs in Table 1 and all subset networksgive similar results. ... 1The best performing 200 hours subsets MLPs.2The GALEeval07 non-sequestered testset version is used.

17 Nov 2017: 403. 404. 50. 100. 150. 200. 250. 300. 350. 3762 7. ... I Cumulative state data usage statistics for 3-hour configuration (VLLP). 100 200 300 400 5000.

30 Jan 2000: Images 1 and 5200 0 200. 400. 200. 0. 200. Images 2 and 3. ... 200. Images 4 and 5. Figure8: Imagesof the ellipsesandepipolarlines after convergence.Eachfigure showsthe overlappingof images and , for -GP& 555 # and ¤@@P 555.

13 Mar 2018: li’. 0 200 400 600 800 1000 1200 1400 1600 1800 2000!10! ... 0 200 400 600 800 1000 1200 1400 1600 1800 2000!10!