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  2. "Refinements in Hierarchical Phrase-Based Translation…

    mi.eng.cam.ac.uk/~wjb31/ppubs/jpino2015HieroRefinementsThesis.pdf
    6 Feb 2015: In English, however, the verbtransformed comes in the middle of the sentence and the effect of surpriseis not as great. ... Table 1.1: BLEU score obtained by the Cambridge University EngineeringDepartment system and by human translators on the MT08 test
  3. PROBABILISTIC ACOUSTIC MODELLING FOR PARAMETRIC SPEECH SYNTHESIS Sean …

    mi.eng.cam.ac.uk/~wjb31/ppubs/shannon2014probabilistic-thesis.pdf
    2 Feb 2015: sequences, in the sense of having a very low test set log probability. ... performance but bad test corpus performance. If there is not substantial overfitting then.
  4. Results that match 2 of 3 words

  5. The twitchy trailer

    mi.eng.cam.ac.uk/IALego/trailer.html
    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
  6. Segment Generation and Clustering in the HTK Broadcast News…

    mi.eng.cam.ac.uk/reports/full_html/hain_darpa98.html/
    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.
  7. Surprise Languages: Rapid-Response Cross-Language IR

    mi.eng.cam.ac.uk/~ar527/oard_evia2019.pdf
    11 Jun 2019: of the decade at the NACSIS Test Collection forInformation Retrieval (NTCIR) and the Cross-Language EvaluationForum (CLEF) evaluations in Japan and Europe, respectively. ... Earlier access to a test collection containing relevance judg-ments could have
  8. tech.dvi

    mi.eng.cam.ac.uk/~sjy/papers/bghk13.pdf
    20 Feb 2018: Reducingthenumber of system components leads to a simpler architecturethat iseasier to implement and test. ... Table 4. Analysis of detected speech segments using V2 and A2models on noisy test setGM2b.
  9. Robust Instance Recognition in Presence ofOcclusion and Clutter Ujwal …

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2014-ECCV-3D-recognition.pdf
    13 Mar 2018: We capture six test scenes with the same five objects. Eachtest scene has 400 500 frames containing multiple objects with different back-grounds/clutter and poses.Scenario 4: This scenario tests ... Recall. Pre. cis. ion. LineModSupp. SIterative(Edge).
  10. MORTGAGE DEFAULT: CLASSIFICATION TREES ANALYSIS David Feldman* and…

    mi.eng.cam.ac.uk/~mjfg/local/4F10/Feldman_Gross.pdf
    15 Nov 2005: Cross-Validation method, and the Test-Sample method. In the former, the learning. ... replace the more costly Cross-Validation misclassification estimation by the. Test-Sample method.
  11. The CUED NIST 2008 Arabic-English SMT system Adrià de ...

    mi.eng.cam.ac.uk/research/projects/AGILE/publications/degispert_NIST08.pdf
    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
  12. The terrific TV camera

    mi.eng.cam.ac.uk/IALego/TV.html
    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?
  13. paper.dvi

    mi.eng.cam.ac.uk/~mjfg/wang_icassp13.pdf
    13 Jun 2013: Part of theretransmitted data was held-out to form a test set, dev1. ... Foreach of the channels there was 2 to 2.5 hours test data, de-pending on how much of the retransmitting speech passedquality assurance tests.
  14. DESIGN OF FAST LVCSR SYSTEMS G. Evermann & P.C. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/evermann_asru2003.pdf
    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.
  15. 20 Feb 2018: Contrasts marked are statisticallysignificant (p < 0.05) using a Kruskal-Wallis rank sum test. ... Test System Num Objective Success Rate Perceived Average WERDialogs Partial Full Success Rate Turns.
  16. Robust Instance Recognition in Presence ofOcclusion and Clutter Ujwal …

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2014-ECCV-3D-recognition.pdf
    13 Mar 2018: We capture six test scenes with the same five objects. Eachtest scene has 400 500 frames containing multiple objects with different back-grounds/clutter and poses.Scenario 4: This scenario tests ... Recall. Pre. cis. ion. LineModSupp. SIterative(Edge).
  17. Ghostscript wrapper for…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2007-CVPR-Kim-incremental.pdf
    13 Mar 2018: test data. The descriptor should also be compact, even for. large data sets. ... divided into training and test sets. All basis vectors were. extracted from the training set.
  18. 22 Nov 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.
  19. 12 Apr 2022: You are required to design, implement, test and evaluate a program writtenin C++ to display and analyse the past trading price data. ... Session 4 Shipping working functions to team directory(Day 2 afternoon) Testing on test data sets 60 minutes.
  20. Segment Generation and Clustering in the HTKBroadcast News…

    mi.eng.cam.ac.uk/reports/svr-ftp/hain_darpa98.pdf
    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.
  21. Efficient Large-Scale Semantic VisualLocalization in 2D Maps Tomas…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-ACCV-Large-scale-localization.pdf
    28 Jun 2021: database of embeddings of the test environmentlocations to retrieve the most similar location. ... The plots in the middle show mean confidence of trajectories w.r.t.
  22. Contour-Based Learning for Object Detection Jamie ShottonDepartment…

    mi.eng.cam.ac.uk/reports/svr-ftp/shotton_iccv05.pdf
    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.
  23. 20 Feb 2018: The environment T in a training dia-logue might be different from that of the test dialogues, and thuswe computed a maximum-entropy randomised policy in the testenvironments given the learnt ... In future work, theIRL reward function will be integrated
  24. 20 Feb 2018: Table 3Percent of unseen contexts in the test data. Number of matching features. ... Noduration modification was applied for this test. Twenty subjects participated in the evaluation.
  25. paper.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/kim_icslp04.pdf
    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
  26. Towards Automatic Assessment of Spontaneous Spoken English Y.…

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/ALTA_SpComm2017.pdf
    12 Sep 2018: computed over all the test sectionswhere the candidate is required to produce spontaneousspeech. ... xN}, what is the best estimate of thevalue of the function at test point x.
  27. Ghostscript wrapper for…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2007-CVPR-Kim-incremental.pdf
    13 Mar 2018: test data. The descriptor should also be compact, even for. large data sets. ... divided into training and test sets. All basis vectors were. extracted from the training set.
  28. IMPLEMENTATION OF AUTOMATIC CAPITALISATIONGENERATION SYSTEMS FOR…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/kim_icassp02.pdf
    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.
  29. Optimisation of Fast LVCSR Systems Gunnar Evermann, Phil Woodland ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/evermann_stthomas03.pdf
    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.
  30. Pronunciation modeling by sharing Gaussians

    mi.eng.cam.ac.uk/reports/svr-ftp/nock_csl00.pdf
    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.
  31. X-MAN: Explaining multiple sources of anomalies in video Stanislaw ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-CVPR-XMAN-anomaly-detection.pdf
    9 Apr 2022: Bottom: Test frame detected as anomalous, showingat least one HOI vector has low probability under the GMM. ... Evaluation metric. All test video frames from alldatasets are marked as either containing or not containing ananomaly.
  32. Learning to Track with Multiple Observers Björn StengerComputer…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2009-CVPR-hand-tracking.pdf
    13 Mar 2018: The running of tests consisting of all possible combina-tions of all trackers on all test sequences would take a pro-hibitive amount of time to complete. ... In order to test the validity of such a setup, weperformed tests using the complete tracking
  33. More Robust Schema-Guided Dialogue State Tracking via…

    mi.eng.cam.ac.uk/~wjb31/eacl_2023_CR.pdf
    1 Mar 2023: Test set dialogues aregrounded in 6 schemas seen during training and 15unseen ones. ... 6It appears in 4 unseen services in the test set.7Lee et al.
  34. PRONUNCIATION MODELING BY SHARING GAUSSIAN DENSITIESACROSS PHONETIC…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/nock_euro99.pdf
    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.
  35. Multilingual Models in Neural Machine Translation

    mi.eng.cam.ac.uk/~wjb31/MPhil_Thesis_Guangyu_Yang.pdf
    21 Nov 2023: processing. 29. 4.5 Examples of translation hypotheses from the test set of WMT’21 Chinese-English. ... In this project, we test the impact of using 2 to 32 demonstrationexamples.
  36. KIM et al.: GROWING A TREE FROM DECISION REGIONS ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2010-BMVC-supertree.pdf
    13 Mar 2018: The regions are represented by the boolean table and theboolean expression is minimised (middle). ... Caltech bg datasetMPEG-7 f ace data. BANCA f ace set. MITCMU f ace test set.
  37. Efficient Large-Scale Semantic VisualLocalization in 2D Maps Tomas…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-ACCV-Large-scale-localization.pdf
    28 Jun 2021: database of embeddings of the test environmentlocations to retrieve the most similar location. ... The plots in the middle show mean confidence of trajectories w.r.t.
  38. Learning to Track with Multiple Observers Björn StengerComputer…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2009-CVPR-hand-trackingpdf
    28 Jul 2009: The running of tests consisting of all possible combina-tions of all trackers on all test sequences would take a pro-hibitive amount of time to complete. ... In order to test the validity of such a setup, weperformed tests using the complete tracking
  39. 20 Feb 2018: The training data con-tains 2207 dialogues and the test set consistsof 1117 dialogues. ... For goals, the gains are always statis-tically significant (paired t-test, p < 0.05).
  40. PoseNet: A Convolutional Network for Real-Time 6-DOF Camera…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-ICCV-relocalisation.pdf
    13 Mar 2018: At test time we also normalize the quaternion orienta-tion vector to unit length. ... This noveldataset provides data to train and test pose regression algo-rithms in a large scale outdoor urban setting.
  41. Face Recognition with Image Sets Using Manifold Density Divergence ...

    mi.eng.cam.ac.uk/reports/svr-ftp/oa214_CVPR_2005_paper1.pdf
    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.
  42. LOGOTHETIS ET AL.: A CNN BASED APPROACH FOR THE ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-BMVC-CNN-NF-Photometric-Stereo.pdf
    28 Jun 2021: As the depth will onlybe approximately known at test time, this is slightly perturbed before mappingresulting to a structured change of the map (shown at bottom left: middle is actualdepth (10 ... In order to solve the near-field PS problem for aspecific
  43. X-MAN: Explaining multiple sources of anomalies in video Stanislaw ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-CVPR-XMAN-anomaly-detection.pdf
    9 Apr 2022: Bottom: Test frame detected as anomalous, showingat least one HOI vector has low probability under the GMM. ... Evaluation metric. All test video frames from alldatasets are marked as either containing or not containing ananomaly.
  44. AN INTELLIGENT INTERFACEFOR FREEHAND STRAIN IMAGING J. E. Lindop, ...

    mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr578.pdf
    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:
  45. Discrete neural representations for explainable anomaly detection…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2022-WACV-anomaly-detection.pdf
    13 Mar 2023: Anomaly detection metric. All test video frames from alldatasets are marked as either containing or not containing ananomaly. ... Middle column shows thesaliency maps produced by passing the input frame through theprediction network.
  46. Shape Context and Chamfer Matching in Cluttered Scenes A. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/thayananthan_cvpr03.pdf
    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
  47. KIM et al.: GROWING A TREE FROM DECISION REGIONS ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2010-BMVC-supertree.pdf
    13 Mar 2018: The regions are represented by the boolean table and theboolean expression is minimised (middle). ... Caltech bg datasetMPEG-7 f ace data. BANCA f ace set. MITCMU f ace test set.
  48. PoseNet: A Convolutional Network for Real-Time 6-DOF Camera…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-ICCV-relocalisation-arXiv.pdf
    13 Mar 2018: This noveldataset provides data to train and test pose regression algo-rithms in a large scale outdoor urban setting. ... Train and test im-ages are taken from distinct walking paths and not sampledfrom the same trajectory making the regression
  49. IEEE TRANS. ON SAP, VOL. ?, NO. ??, ????? ...

    mi.eng.cam.ac.uk/research/projects/AGILE/publications/mjfg_ASL.pdf
    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.
  50. The Layout Consistent Random Field for Recognizing and Segmenting ...

    mi.eng.cam.ac.uk/reports/svr-ftp/shotton_cvpr06.pdf
    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.
  51. BBC News - Silicon Fen shows off its wares at Cambridge showcase

    mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2011-BBC-Zappar.pdf
    7 Nov 2014: Her product can quickly test the way people walk by means of gyroscopes and ac-celerometers, stored in sensors strapped to the legs. ... Mrs Hodgins has witnessed many economic cycles. "Innovation at this time is one of the hardest things to do," she says
  52. PoseNet: A Convolutional Network for Real-Time 6-DOF Camera…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2015-ICCV-relocalisation.pdf
    13 Mar 2018: At test time we also normalize the quaternion orienta-tion vector to unit length. ... This noveldataset provides data to train and test pose regression algo-rithms in a large scale outdoor urban setting.

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