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  1. Results that match 2 of 3 words

  2. 12 Apr 2022: Step 1: Requirements analysis and specification (section 4). Step 2: High-level design (section 5). ... 2 Mentally checking that it fits the requirements. 2 Compiling and removing syntax errors.
  3. main.dvi

    mi.eng.cam.ac.uk/~sjy/papers/youn07
    20 Feb 2018: These nodes correspond to ei-. 6Often referred to as thescore. ther entry states, emitting states or exit states. ... If sim-ple Viterbi decoding was the only requirement, thenthere would be little variation amongst decoder im-plementations.
  4. Knill_CUEDSeminar_20140403.dvi

    mi.eng.cam.ac.uk/~kmk/presentations/CUED_Apr14_Knill.pdf
    12 May 2016: Multilingual STT for Spoken Term Detection. Phone Set Coverage! ". #!". $!". %!". &!". '!". '#!". '$!". ('!'" ('!$" ('!)" ('!%" ('!" ('!#" ('!" (#!'" (#!" (#!%"! "#$%&'()'(,%-'. • CUED X-SAMPA attribute file has 215 entries (seen 62%). ... Multilingual
  5. Department of Engineering 1 Generative Kernels and Score-Spaces…

    mi.eng.cam.ac.uk/~mjfg/Kernel/rcv25_2015_y3.pdf
    1 Jun 2015: e entries of matrix f(ot) correspond to theweights on the transitions between two consecutive times. ... So far, the entries of the matrices have been assumed to be just likelihoods.
  6. The CUHTK-Entropic 10xRT Broadcast News Transcription SystemJ.J.…

    mi.eng.cam.ac.uk/reports/svr-ftp/odell_darpa99.pdf
    8 Mar 2000: The word 4gram model had 5.6 million bigram entries, 9.9million trigram entries and 7.4 million 4-grams. ... The cate-gory trigram contained 850 thousand bigram and 9.4 milliontrigram entries for the 1000 categories.
  7. 20 Feb 2018: First we consider options (1) and (2). (1) may be con-sidered a baseline and is given by the diagonal entries of theupper part of Table 4. ... 2Note that the in domain results in Table 4, the ‘diagonal’ entries in theupper section, correspond exactly
  8. Log-Linear System Combination Using Structured Support Vector Machines

    mi.eng.cam.ac.uk/~mjfg/interspeech16_combSSVM.pdf
    26 Sep 2016: SSVM 1 1. Table 1: Resource requirements of different approaches. A combination of 4 joint decoding [10] (tandem and hybrid)systems is examined. ... Table of Contents Entry of this Manuscript. Brief Author Index. A.
  9. 20 Feb 2018: Hence, the dialogue manager will have many choices ateach turn including confirming the given requirements, askingfor further requirements or offering a venue. ... allows global information to be incor-porated such as the number of database entries
  10. Sparse and Semi-supervised Visual Mapping with the S3GP Oliver ...

    mi.eng.cam.ac.uk/reports/svr-ftp/williams_cvpr06.pdf
    3 Apr 2006: the proportional decrease inthis requirement means that gaze tracking at 10–15Hz con-stitutes a “background task” leaving the majority of cyclesfree for other processes. ... If this paper is accepted forpresentation at CVPR, text entry with S3GP
  11. 20 Feb 2018: This paper presents BAGEL (Bayesian networksfor generation using active learning), an NLG sys-tem that can be fully trained from aligned data.While the main requirement of the generator is toproduce ... 3.2 High cardinality concept abstractionWhile one
  12. report.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/ijaz_tr635.pdf
    20 Aug 2009: Each entry inthe histogram denotes the number of times intensity i in one image coincides with intensity jin another image. ... Dividing each entry by the total number of entries gives the joint probabilitydistribution pij.
  13. 20 Feb 2018: For example the system needs to provide a user with a description of a laptop in a storethat meets specific user requirements. ... a given database entry and the fifth the sum of the number of values of each requestable slot.
  14. Detection of Human Faces under Scale, Orientation and Viewpoint ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/yow_fg96_2.pdf
    9 Aug 2005: The entries in the CPT can be estimated directly by usingthe statistics of the set of examples (Russell et.al. ... fil-ters to give a 1% error approximation for a 3:1 filter (Perona[11]) - a huge saving in computational requirements.
  15. gasic_acltslp.dvi

    mi.eng.cam.ac.uk/~sjy/papers/gayo11.pdf
    20 Feb 2018: The main requirements for representing partitions are that each partition is unique and thatthey are represented in a way that allows a large number of partitions to be maintained efficientlyand compactly. ... The features of the summary space are: top
  16. 20 Feb 2018: The state consists of the variables needed to track theprogress of the dialogue and the attribute values (often called slots) that determine theuser’s requirements. ... This is especiallyuseful in commercial applications where the behaviour of dialogue
  17. Sparse and Semi-supervised Visual Mapping with the S3GP Oliver ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-CVPR-Williams-sparse.pdf
    13 Mar 2018: the proportional decrease inthis requirement means that gaze tracking at 10–15Hz con-stitutes a “background task” leaving the majority of cyclesfree for other processes. ... If this paper is accepted forpresentation at CVPR, text entry with S3GP
  18. TextonBoost: Joint Appearance, Shape andContext Modeling for…

    mi.eng.cam.ac.uk/reports/svr-ftp/shotton_eccv06.pdf
    15 Feb 2006: The potential takes the form of alook-up table with an entry for each class and pixel location,. ... Sub-sampling and random feature selection for training efficiency. Theconsiderable memory and processing requirements make training on a per-pixelbasis
  19. 7 Oct 2011: Matrixes and vectorsA Matrixai =[A]i Row i of Aaij =[A]ij Element (i, j) of Ab Vectorbi Element i of bI Identity matrix0 Vector/matrix with all entries 01 ... matrix with all entries 1|| Determinant‖‖ NormTr() TraceA1 InverseAT TransposeAT Inverse
  20. Non-rigid Photometric Stereo with Colored Lights Carlos Herńandez1…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2007-ICCV-colour-photometric-video.pdf
    13 Mar 2018: In thepresent work, we avoid this requirement while producingdetailed results. Pilet et al. ... The main difficultywith applying photometric stereo to deforming objects liesin the requirement of changing the light source direction foreach captured frame,
  21. 29 May 2012: e feature vector is divided into separatesets of dimensions for each vocabulary entry v, and the other dimensions are zero:. ... e language model features φl(w), is the interest. Its rst entry is the log-prob-abibility returned by the generative
  22. 22 Nov 2006: Although, for many tasks, enu-merating all possible sub-strings yields a very high di-mensional feature-space, this feature-space is sparse withnon-zero entries being calculated using efficient dynamic. ... Viterbi de-coding yields a single sequence (the
  23. Bitext Alignment forStatistical Machine Translation Yonggang Deng A…

    mi.eng.cam.ac.uk/~wjb31/ppubs/YDengDissertationDec05.pdf
    16 Feb 2008: This example presents the target sentence as asequence of phrases, but there is no requirement that the target wordsgenerated by a source word should appear as neighbors in the targetsentence. ... The precisionof each of these is plotted versus its
  24. Semi-Supervised Video Segmentation using Tree Structured Graphical…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2011-CVPR-video-segmentation.pdf
    13 Mar 2018: Existing video models [7, 10, 21, 9] donot satisfy one or more of these requirements as discussedin Sec.2. ... 0.9 along the diagonals and equalvalues along the non-diagonal elements such that the sum ofall entries is unity.
  25. 17 Nov 2021: D(can)w Dictionary entry containing canonical pronunciations (i.e. phone sequences) for a.
  26. Non-rigid Photometric Stereo with Colored Lights Carlos Herńandez1…

    mi.eng.cam.ac.uk/research/projects/VideoNormals/NonRigidPhotometricStereoWithColoredLights_iccv2007.pdf
    16 Aug 2007: In thepresent work, we avoid this requirement while producingdetailed results. Pilet et al. ... The main difficultywith applying photometric stereo to deforming objects liesin the requirement of changing the light source direction foreach captured frame,
  27. 20 Feb 2018: generalisation properties for generating unseen inputs. Section 3 describes BAGEL’s. meaning representation, which satisfies both requirements. ... intractable for non-trivial domains. Since a key requirement of this work was to develop.
  28. Multiview Geometry: Profiles and Self-Calibration Paulo Ricardo dos…

    mi.eng.cam.ac.uk/reports/svr-ftp/mendonca_phd-thesis.pdf
    22 May 2001: plane. Degrees of Freedom of". A generic matrix has nine degrees of freedom(dof), one for each of its entries. ... cameras$. and$. , denoted as and , respectively, each correspondence provides, when substituted in (3.5), one equation on the entries of. ".
  29. Semi-Supervised Video Segmentation using Tree Structured Graphical…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2011-CVPR-video-segmentation.pdf
    13 Mar 2018: Existing video models [7, 10, 21, 9] donot satisfy one or more of these requirements as discussedin Sec.2. ... 0.9 along the diagonals and equalvalues along the non-diagonal elements such that the sum ofall entries is unity.
  30. tech.dvi

    mi.eng.cam.ac.uk/~mjfg/liao_tr552.pdf
    21 Sep 2007: While this provides an idealised method to evaluate this compensation formseparate from the noise estimation process, this is not a requirement. ... Hence, the newestimate needs to be backed off towards the old until this requirement is met.
  31. Minimum Bayes-Risk Techniquesin Automatic Speech Recognition and…

    mi.eng.cam.ac.uk/~wjb31/ppubs/ShankarKumarDiss04.pdf
    16 Feb 2008: 82. 4.2 Distribution of the number of words in the target and the sourcephrases over the Phrase-Pair Inventory on the French-English Task.The entries are phrase-pair counts ... 83. 4.3 Distribution of the number of words in the target and the
  32. sig-004.dvi

    mi.eng.cam.ac.uk/~sjy/papers/gayo07.pdf
    20 Feb 2018: Foundations and Trends R inSignal ProcessingVol. 1, No. 3 (2007) 195–304c 2008 M. Gales and S. YoungDOI: 10.1561/2000000004. The Application of Hidden Markov Modelsin Speech Recognition. Mark Gales1 and Steve Young2. 1 Cambridge University
  33. A New Distance for Scale-Invariant 3D Shape Recognition and ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2011-ICCV-3D-object-recognition.pdf
    13 Mar 2018: 10] quantize translations and rotations in twoseparate 3D arrays; peak entries in both arrays indicate thepose of the object, but multiple objects create ambiguities.Knopp et al. ... This is not practical using Hough-based approaches,due to their
  34. BUDVYTIS et al.: LABEL PROPAGATION 1 Label propagation in ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2010-BMVC-label-propagation.pdf
    13 Mar 2018: Parts around the vanishing point and entry points of moving objects into the scene, suchas cross roads. ... Computational requirements The E-step in algorithm2 was implemented in C# with a 8core processor at a cost of 90s/frame.
  35. sig-004.dvi

    mi.eng.cam.ac.uk/~mjfg/mjfg_NOW.pdf
    19 Mar 2008: Foundations and Trends R inSignal ProcessingVol. 1, No. 3 (2007) 195–304c 2008 M. Gales and S. YoungDOI: 10.1561/2000000004. The Application of Hidden Markov Modelsin Speech Recognition. Mark Gales1 and Steve Young2. 1 Cambridge University
  36. 11 Jul 2017: Joint Training Methods for Tandem andHybrid Speech Recognition Systems. using Deep Neural Networks. Chao Zhang. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofDoctor of Philosophy. Peterhouse July
  37. PhD Thesis

    mi.eng.cam.ac.uk/~mjfg/thesis_ky219.pdf
    16 Nov 2007: writing. The firm requirements and countless guidance on these aspects have given me the.
  38. 20 Feb 2018: As indicated in the preceding section, there are strong indicators that humans exploit similar mechanisms and overall, POMDPs appear to address all of the requirements listed in the introduction for an
  39. Refining Architectures of Deep Convolutional Neural Networks Sukrit…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2016-CVPR-refining-CNN.pdf
    13 Mar 2018: Entry of (1,1) implies no stretchand splitting should be done. In Fig 5, for DR-1 , every value of b is made 1, while for DR-2 , every value of ... Ifthat test image has say 5 positive labels in ground-truth an-notations, we expect the first 5 entries of
  40. Noname manuscript No.(will be inserted by the editor) Distances ...

    mi.eng.cam.ac.uk/~cipolla/publications/article/2014-IJCV-Pham.pdf
    13 Mar 2018: Divergences, also sometimes referred to as qua-sisemimetrics, form a further superset of metrics whichalso drop the requirement of sub-additivity, requiringonly conditions 1 and 2.
  41. 5 Jun 2006: MODEL-BASED TECHNIQUES FORNOISE ROBUST SPEECH RECOGNITION. Mark John Francis Gales. Gonville and Caius College. September 1995. Dissertation submitted to the University of Cambridgefor the degree of Doctor of Philosophy. Declaration. This
  42. thesis.dvi

    mi.eng.cam.ac.uk/~wjb31/ppubs/VenkataramaniDiss05.pdf
    16 Feb 2008: requirements for the degree of Doctor of Philosophy. Baltimore, Maryland. 2005. ... given by a dictionary. A word can have more than one entry in a dictionary with a.
  43. Improving Attention-based Sequence-to-sequence Models

    mi.eng.cam.ac.uk/~mjfg/thesis_qd212.pdf
    5 Jul 2022: The weights, i.e. the entries of an attention vector,indicate the focus on the input tokens.
  44. This article appeared in a journal published by Elsevier. ...

    mi.eng.cam.ac.uk/~cipolla/publications/article/2009-CVIU-face-illumination.pdf
    13 Mar 2018: training data requirements, promising resultsare reported by the more recent, generalized photometric stereomethods [13,14,16] which in addition exploit class-specific con-straints of face shape and albedo. ... Fig. 6. Our offline algorithm implicitly
  45. Semantic Transform: Weakly Supervised Semantic Inference for Relating …

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2013-ICCV-Shankar-attrirbutes.pdf
    13 Mar 2018: 3Note that the main requirement is that the classes are ordered so asto correctly reflect the underlying attribute-specific themes and the learntmodel maximally separates the classes while conforming to the ... all training images forattribute am, and
  46. 27 Oct 2015: virtually unlimited vocabulary size is a requirement. Besides vocabulary, the difficulty of these. ... Note that because of the use of the entry state, state 1, a1j specifies the initial state.
  47. Statistical Machine Translationand Automatic Speech Recognitionunder…

    mi.eng.cam.ac.uk/~wjb31/ppubs/LMathiasDissDec07.pdf
    16 Feb 2008: system can be used without modification to translate each entry, and the resulting. ... To restrict the memory requirements of the model, we extract only the phrase.
  48. 2 Apr 2014: Discriminative models for speech. recognition. Anton Ragni. Peterhouse. University of Cambridge. A thesis submitted for the degree of. Doctor of Philosophy. 2013. Declaration. This dissertation is the result of my own work and includes nothing.
  49. 16 Jan 2008: independent given the previous state. Upon entry to a state θt =j, a single observation, ot,.
  50. A New Distance for Scale-Invariant 3D Shape Recognition and ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2011-ICCV-3D-object-recognition.pdf
    13 Mar 2018: 10] quantize translations and rotations in twoseparate 3D arrays; peak entries in both arrays indicate thepose of the object, but multiple objects create ambiguities.Knopp et al. ... This is not practical using Hough-based approaches,due to their
  51. BUDVYTIS et al.: LABEL PROPAGATION 1 Label propagation in ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2010-BMVC-label-propagation.pdf
    13 Mar 2018: Parts around the vanishing point and entry points of moving objects into the scene, suchas cross roads. ... Computational requirements The E-step in algorithm2 was implemented in C# with a 8core processor at a cost of 90s/frame.

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