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1 Jan 2024: inverted pendulum, and it has become a classic test case for evaluating automatic control strategies. ... You must ensure that the neutral configuration (with the trailer in line with the car) produces a light sensor reading roughly in the middle of its

1 Mar 2000: BG corr. %M corr. %Correct. %Loss. train/test. 66.26. 97.04. 97.54. 0.03. ... The test set is split into shows available both in training and test and test only.

17 Nov 2017: Bottleneck Layer. HLDA. DNN. HLDA. Fusion. Score. LSTM. FBank Test set%WER. ... From middle range of confidence Contains more than 30 L1s. By comparing the parse trees generated on ASR hypothesis against those from a gold standard manual reference, we

6 May 2008: NIST 2008 Arabic-English MT evaluation development 8. Lowercase BLEU scores over three test sets from 2002 through 2006:. ... 8 nist.gov/speech/tests/mt/2006 nist.gov/speech/tests/mt/2008Department of EngineeringUniversity of Cambridge. NIST Open Machine

1 Jan 2024: The middle support can be flicked backwards and forwards to accommodate different length lasers. ... this test card and scan it with your camera. Do the squares remain square at all positions in the image?

23 Sep 2003: For BN the test datais taken from radio and TV news shows (for example CNNHeadline News, ABC World News Tonight). ... The 2003 BNeval test set consists of 6 half-hour excerpts from Radio andTV broadcasts taken from February 2001.

10 Dec 2003: P1 speed-accuracy trade-off (CTS eval02). • In eval chose middle operating point for safety Should have used fast setup and use time elsewhere. ... test on eval03: skip 66% segments, 43% audio, 32% rescoring runtimei.e.

8 Mar 2000: The test set is split into shows available bothin training and test and test only. ... Taking advantage of this effect, all segmentsare then split up again in the middle of silence segments clustering isrepeated.

23 Feb 2006: The various models andrecognition configurations are evaluated using several recent BNdevelopment and evaluation test sets. ... Test set # Shows Hours Period. dev03 6 3 Jan. 2001eval03 6 3 Feb.

8 Aug 2005: Test-ing was performed on 164 images containing 193 cars,and164 background images. ... Our technique relies on edge features andhigher-resolution training and test images would certainlyimprove results.

10 Jan 2005: The transcription is either known in training orobtained by an initial, non-VTLN, decoding pass for test data.If and are the original and transformed feature vectorsrespectively then the log-likelihood ... The systems were eval-uated on two 3 hour test

9 Aug 2005: We also used 3 hours of test data from the NIST 1998 Hub-4BN benchmark tests. ... Most of these words are not capitalised,if they are used in the middle of sentences.

31 Jul 2000: Pronunciation modeling by sharing Gaussians 141. TABLE I. WER degradation with speaking style on theMULTI-REG test set. ... Steps (6), (3), (4) and (5) arethen carried out in that order to estimate and test a matched pronunciation model.

9 Aug 2005: Steps 6, 3, 4 and 5 are then carried out to estimateand test a pronunciation model. ... in Step 5 (Test) PER WER PER WERNone (Dictionary) 49.1% 49.1% 49.5% 58.9%Tree Pron.

8 Aug 2005: These meth-ods have achieved very good accuracy on a small number ofcontrolled test sets. ... We therefore useDKL(p(0)||p(i)) as a “distance measure” between trainingand test sets.

12 May 2003: Top and middle row: model pro-jected on images from camera 1 and 2, respectively. ... 4. Experimental Results. Real data experiments were designed to test the proposedtracking algorithm.

17 Feb 2006: In AFR tests, such methods are usuallyoutperformed by methods from the third class: view-based techniques e.g. ... KLD) [38]. In all tests, both training data for each person in the gallery, as well as test data,consisted of only a single sequence.

25 May 2007: Wetherefore also test a 2D colour map in which strain is indicated by intensity, and a colour (red inour example) is introduced to indicate precision. ... Middle row: corresponding pseudo-strain images without spa-tial averaging. Bottom row:

12 May 2003: Point correspondences betweentwo shapesare found by minimizing the point matchingcosts,which is the test statistic for histograms. ... 7. Figure 5: Results of hand localization. Left column: handlocalization usingshapecontext informationonly

3 Apr 2006: and used for training wereclean, single-instance images, and so our performance overthe 150 remaining test images would be therefore expectedto be slightly lower than for the whole database. ... Left: input image. Middle: inferred parts la-bellings.