Search

Search Funnelback University

Search powered by Funnelback
1 - 50 of 87 search results for postgraduate entry requirements |u:mi.eng.cam.ac.uk where 2 match all words and 85 match some words.
  1. Fully-matching results

  2. 16 May 2005: PhD applications for October entry must be received by the end of the preceding March. ... Those interested in this course should read the CSTIT Entry Requirements and Admission Procedure page.
  3. thesis.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/nock_thesis.pdf
    14 Jun 2006: different points during my postgraduate career.
  4. Results that match 2 of 3 words

  5. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/CVRPostgraduate
    Postgraduate Admissions. PhD applications in computer vision and robotics are welcome at all times from highly qualified individuals. ... Entry to the group is very competitive, and decisions can only be made after we have received a formal application
  6. Roberto Cipolla - Professor of Information Engineering

    mi.eng.cam.ac.uk/~cipolla/phdguide.htm
    Professor Roberto Cipolla, Department of Engineering. Postgraduate. Guidelines on PhD research and supervision. ... A job at the end of three years. Postgraduate Information. Copyright 2008 Roberto Cipolla.
  7. 29 Apr 2024: However, the argument presented here critiques the common well-intentioned requirement that, in order to achieve this, all such datasets must be debiased prior to training. ... The UNICAM entry addresses this problem during fine-tuning using a robust
  8. Department of Engineering 1 Monoids: e�cient segmental features…

    mi.eng.cam.ac.uk/~mjfg/Kernel/van_dalen-2013-tr-monoid_features
    17 Apr 2015: So far, the entries of the matrices have been assumed to be just likelihoods. ... e monoid features discussed so far have been a matrix with scalar entries derivedfrom an hmm.
  9. 20 Feb 2018: the similar-ity threshold. The Y-clustering algorithm attempts to satisfy theabove requirements by generating sentence classes in stages. ... Rankthe templates according to the number of assigned sen-tences. If there are more than the required Y
  10. Investigation of multilingual speech-to-text systems for use in…

    mi.eng.cam.ac.uk/~kmk/presentations/UEdin_Feb14_Knill.pdf
    12 May 2016: Language Independent System Requirements. • Access to (limited) lexicon and language modelling data. • ... Multilingual STT for Spoken Term Detection. Phone Set Coverage! ". #!". $!". %!". &!". '!". '#!". '$!". ('!'" ('!$" ('!)" ('!%" ('!" ('!#" ('!"
  11. The CUHTK-Entropic 10xRT Broadcast News Transcription System

    mi.eng.cam.ac.uk/reports/full_html/odell_darpa99.html/
    1 Mar 2000: The word 4gram model had 5.6 million bigram entries, 9.9 million trigram entries and 7.4 million 4-grams. ... The category trigram contained 850 thousand bigram and 9.4 million trigram entries for the 1000 categories.
  12. 3 Nov 2023: The UNICAM entry addresses this problem during fine-tuning using a robust variant on Minimum Risk Training. ... We describe two entries from the Cambridge University Engineering Department to the BEA 2019 Shared Task on grammatical error correction.
  13. 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.
  14. 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
  15. 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.
  16. 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.
  17. 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.
  18. 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
  19. 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.
  20. 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
  21. 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
  22. 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
  23. 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.
  24. 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.
  25. 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.
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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.
  32. 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,
  33. 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
  34. 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
  35. 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
  36. 17 Nov 2021: D(can)w Dictionary entry containing canonical pronunciations (i.e. phone sequences) for a.
  37. 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,
  38. 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. ".
  39. 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.
  40. 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.
  41. PROC IEEE, VOL. 101, NO. 5, 1160-1179, 2013 1 ...

    mi.eng.cam.ac.uk/~sjy/papers/ygtw13.pdf
    20 Feb 2018: the dialogue and the attribute values (often called slots) thatdetermine the user’s requirements. ... eachdiscrete codebook entry b̂i.
  42. 9 Aug 2005: Both their large size (and consequent memory requirements),and the training set sparseness associated with large numbers of parameters, limits n to 2, 3 or perhaps4. ... from the symmetry requirement, we may write:. Probability in of any event occurring
  43. 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.
  44. 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
  45. 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
  46. 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
  47. 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.
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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.

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.