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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.

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.

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.

29 Sep 2016: TTS: Bottleneck Features [49]. 0 50 100 150 200 250 300 350.

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: 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.

11 Jan 2008: Here, 200 samples were drawn from the CATprior distribution and used to rescore the N-best lists.

26 May 2010: 10. 300 200 100 0 100 200 300. 1. 1.1. 1.2. ... 11. 300 200 100 0 100 200 300. 1. 1.05. 1.1.

11 Mar 2016: A total of 200 hidden units were used. RNNLMs weretrained on GPU as described in [25].

21 Sep 2006: 9. 100 150 200 250 300 350 4000.5. 0.6. 0.7. 0.8.

29 Nov 2003: Figure 8 demonstrates the detection. 0. 100. 200. 300. 400. 500.

9 Aug 2005: x 106. 150. 200. 250. 300. 350. 400. 450. 500. Complexity (number of ngrams).

13 Mar 2018: ìRªi-URÒns«Ð¥]. 0 50 100 150 200 2500.02. 0. 0.02. 0.04. ... 10. 5. 0. 5. 10. 15. 20. #% ,!&. 0 50 100 150 200 2500.1.

4 Aug 2009: It is changed over the. range of 200 m/s. The results in Figure 6 are similar to those for the lateral focus in Figure 2. ... 12. 200 100 0 100 2006. 3. 0. 3. 6. 9.

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.

9 Apr 2022: The3D features are sum pooled along the vertical dimension toform bird’s-eye view feature maps xt RCHW , with(H,W) = (200,200) the spatial extent of the BEV feature. ... These features are then lifted and projected to bird’s-eyeview to obtain a

16 Mar 2005: 5 CONCLUSIONS 13. 0.15 0.2 0.25 0.30. 50. 100. 150. 200. ... 50. 100. 150. 200. measured distance (mm). frequ. ency. (N =. 453. 2). Figure 7: Histograms of the measured elevational distances for left the training data(mean µ̂ = 0.204 mm, standard

9 Nov 2023: WILLIAM JOSEPH BYRNE III. Department of Engineering 16 Water View, RiversideUniversity of Cambridge Cambridge, UK CB5 8JQTrumpington Street, Cambridge, UK CB2 1PZ Mobile: 44 (0)7852 910371bill.byrne@eng.cam.ac.uk

9 Aug 2005: Recognition results are presented for 200 sen-tences taken from the US English SQALE evaluation data set.Results were obtained using precomputed lattice rescoring ratherthan full recognition: all experiments used the

20 Feb 2018: 0. 200. 400. 600. 800. 1000. 1200. 1400. 1600. 1800. Aver.

13 Mar 2018: 100. 150. 200. 250. 1. 50 100 150 200 250 300 350. ... 50. 100. 150. 200. 250. 0 50 100 150 200 250 300 350.

20 Feb 2018: 0. 100. 200. 300. 400. 500. 600. 700. 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14.

9 Aug 2005: 100. 150. 200. 250. 1. 50 100 150 200 250 300 350. ... 50. 100. 150. 200. 250. 0 50 100 150 200 250 300 350.

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

13 Mar 2018: generations 200. 0 100 200 300 400 500 600 700 8001. ... Maximal generationcount of 200 was chosen as a trade-off between accuracy and matching speed.

9 Aug 2005: Fre. quen. cy (. kHz). 0 200 400 600 8000. 2. ... Time (ms). Fre. quen. cy (. kHz). 0 200 400 600 8000.

13 Mar 2018: AAMbase. (a). 0 100 200 300 400 500Maximum tracking error in sentence. ... Sample sentencesthat were publicly available were chosen for the evaluation,and scaled to a face region height of approximately 200 pix-els.

13 Mar 2018: 2 1/2 D visual servoing with respect to planar. contours having complex and unknown shapes. E. Malis, G. Chesi†and R. Cipolla‡. Abstract. In this paper we present a complete system for segmenting, matching, track-. ing, and visual servoing with

20 Feb 2018: jdw30@cam.ac.uk. Pascal Poupart School of Computer Science. University of Waterloo 200 University Avenue West.

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: Based on the terms de-. t t. t. t t. 100 200 300. ... 50. 100. 150. 200. Pt. (a). (b). (c). (d). (e). (f).

13 Mar 2018: The component numbers of the total correlation matrixand the orthogonal subspaces of OSM and LOSM were 200 and10 respectively. ... He has authored three books, edited six volumes, and coauthored morethan 200 papers.

11 Feb 2020: 10. 0. 50. 100. 150. 200. 250. 300. 350. 0 0.5 1 1.5 2 2.5 3. #

22 May 2006: SENSORLESS RECONSTRUCTIONOF UNCONSTRAINED FREEHAND. 3D ULTRASOUND DATA. R. J. Housden, A. H. Gee,G. M. Treece and R. W. Prager. CUED/F-INFENG/TR 553. May 2006. University of CambridgeDepartment of Engineering. Trumpington StreetCambridge CB2 1PZ.

20 Feb 2018: For eachmodel, we collected 200 dialogues and averaged the scores.During human evaluation, we sampled from the top-5 in-tentions of the LIDM models and decoded a response basedon the

13 Mar 2018: also applied our method to ResNet 200, the deepest network. for ILSVRC 2012. ... To provide a baseline we used code im-. Table 5: ResNet-200 Results.

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.

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 =

20 Feb 2018: Weexpanded the original WOZ dataset from Wenet al. (2017) using the same data collectionprocedure, yielding a total of 1200 dialogues.We divided these into 600 training, 200 vali-dation and 400

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.

20 Feb 2018: All were tested with600 dialogues after every 200 training dialogues.As reported in previous studies, the benchmark.

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: 0 50 100 150 200. Epoch. 0.89. 0.9. 0.91. 0.92. 0.93. ... 0.94. Pix. el a. ccu. racy (. %). background. 0 50 100 150 200.

13 Mar 2018: 0.2. 0.4. 0.6. 0.8. 1. Positional error (m). 0 2 4 6 8 10 12 14 16 18 200. ... Rota. tional U. ncert. ain. ty. (a) King’s College. 0 5 10 15 200.

18 May 2017: Detection The algorithm has to specify for each image mul-. tiple classes (from a choice of 200) and their locations in.

23 Nov 2003: 0 50 100 150 200 250 300. 0. 10. 20. 30.

13 Mar 2018: 4.5 50 100 150 200 300 4000. 0.1. 0.2. 0.3. 0.4. ... Maximum L 200 voxelsDefault σKDE in g(,σKDE) 1.5 voxels. Distance threshold D 0.03LParameter f in equation (8).

14 Sep 2006: The question then is to what extent adding marginal samples. 0 50 100 150 200 250 3002.

13 Mar 2018: 0.4. 0.6. 0.8. 1. Positional error (m). 0 2 4 6 8 10 12 14 16 18 200. ... 100. 120. Number of training samples. Tim. e (. seconds). 0 200 400 600 800 1000 12000.

20 Apr 2005: In some of the experimental sequences,the displacement expert loses track. On these occasions, theRMS error becomes meaningless (being wrong by 100 pixelsis no better or worse than 200 pixels). ... These results were taken from tracking a 200 frame