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21 - 70 of 76 search results for People aliens |u:mi.eng.cam.ac.uk where 0 match all words and 76 match some words.
  1. Results that match 1 of 2 words

  2. This page has been left blank. SPOKEN DOCUMENT RETRIEVAL ...

    mi.eng.cam.ac.uk/reports/svr-ftp/johnson_trec9.pdf
    29 Jul 2001: 8TREC-8 terse queries have a slightly different degradation, but were gener-ated in house with different people and restrictions to those for TREC-9.
  3. Imaging the femoral cortex: thickness,density and mass from clinical…

    mi.eng.cam.ac.uk/reports/svr-ftp/treece_tr665.pdf
    29 Apr 2011: 1 Introduction. Hip fractures are the most common cause for acute orthopaedic hospital admission in older people (Parkerand Johansen, 2006), with their annual incidence projected to rise worldwide from 1.7
  4. SPOKEN DOCUMENT RETRIEVAL FOR TREC-7 AT CAMBRIDGE UNIVERSITY S.E. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/johnson_trec7.pdf
    8 Mar 2000: An example of the word-pairs added in this way is:. CU60 : How many people have been murdered by the IRA inNorthern Irelandnorth ireland.
  5. pami04.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/stenger_pami06.pdf
    21 Sep 2006: Automatica, (7):287–298,1971. [10] K. Choo and D. J. Fleet. People tracking using hybrid Monte Carlo filtering.
  6. D:/docs/reports/tech_17/tech_17.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/treece_tr691.pdf
    4 Aug 2014: 1 Introduction. Hip fractures are the most common cause of acute orthopaedic hospital admission in older people (Parkerand Johansen, 2006).
  7. A Face Recognition System for Access Control using Video ...

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_PR06.pdf
    21 Dec 2005: 17. identities of the two people they represent are the same.
  8. High resolution cortical thickness measurement from clinical CT data…

    mi.eng.cam.ac.uk/reports/svr-ftp/treece_tr634.pdf
    12 Jan 2010: 1 Introduction. The exponential increase in hip fractures with ageing imposes a substantial and increasing health burden.They are the most common reason for acute orthopaedic admission in older people (Parker
  9. CAMBRIDGE UNIVERSITYENGINEERING DEPARTMENT Automatic Transcription…

    mi.eng.cam.ac.uk/reports/svr-ftp/hain_tr465.pdf
    18 Dec 2003: CAMBRIDGE UNIVERSITYENGINEERING DEPARTMENT. Automatic Transcription ofConversational Telephone Speech. Development of the CU-HTK 2002 System. Thomas Hain, Phil Woodland, Gunnar Evermann, Mark Gales, Andrew Liu, Gareth Moore, DanPovey & Lan Wang. CUED
  10. 1 Model-Based Hand Tracking Using a HierarchicalBayesian Filter…

    mi.eng.cam.ac.uk/reports/svr-ftp/thayananthan_pami06.pdf
    14 Sep 2006: Automatica, (7):287–298, 1971. [10] K. Choo and D. J. Fleet. People tracking using hybrid MonteCarlo filtering.
  11. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/ProjectContributor
    ProjectContributor lists the people involved. Related topics:Machine Intelligence Laboratory. 2023 University of Cambridge Department of Engineering, Trumpington Street, Cambridge, CB2 1PZ.
  12. Article Submitted to Computer Speech and Language Automatic…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/kim_csl04.pdf
    9 Aug 2005: capitalised words, although people do not want to be forcedto verbally capitalise words.
  13. Submitted in partial requirement for the MPhil in Computer ...

    mi.eng.cam.ac.uk/reports/svr-ftp/johnson_mthesis.pdf
    10 Apr 2000: Signed:. AcknowledgementsI would like to take this opportunity to thank the many people in the Cambridge UniversitySpeech, Vision and Robotics group for their help, advice and sharing of technical expertise
  14. Cluster Voting for Speaker Diarisation S.E.…

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_tr476.pdf
    13 May 2004: issues between several people; and many different types of acoustic condition, for examplethe existence of background noise or music, or different bandwidths from different locations.
  15. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/GMT_4YP_14_1
    Hip fracture is a major issue affecting millions of people annually.
  16. thesis.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/nock_thesis.pdf
    14 Jun 2006: The performance of these systems has im-proved sufficiently that people are often surprised to learn that the automatic speechtranscription (or recognition) problem is far from solved. ... people will get, I mean, I’ve, - my brother lives where I
  17. An Investigation into the Interactions betweenSpeaker Diarisation…

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_tr464.pdf
    9 Oct 2003: An Investigation into the Interactions betweenSpeaker Diarisation Systems andAutomatic Speech Transcription. †S.E. Tranter, †K. Yu, ‡D.A. Reynolds, †G. Evermann,†D.Y. Kim & †P.C. WoodlandCUED/F-INFENG/TR-464. 9th October 2003. †
  18. Multiview Geometry: Profiles and Self-Calibration Paulo Ricardo dos…

    mi.eng.cam.ac.uk/reports/svr-ftp/mendonca_phd-thesis.pdf
    22 May 2001: During this period I have benefited from the help of many people, but most notably. ... Paul Beardsley, Dr. Joe Mundy and Prof. Andrew Blake. Many people from the Engineering Depart-.
  19. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/GMT_4YP_18_1
    Bone fracture is a major issue affecting millions of people annually, and we have recently been involved in research which has the potential to contribute significantly to both our understanding of
  20. Named Entity Recognition from Speechand Its Use in the ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/kim_thesis.pdf
    9 Aug 2005: e.g. Bridge Sports Co.). The names of people and locations, dates, times, and other basic.
  21. The State Based Mixture of Experts HMM with Applications ...

    mi.eng.cam.ac.uk/reports/svr-ftp/tuerk_thesis.pdf
    2 Feb 2002: environment. Furthermore, I would like to take the opportunity to thank all the unnamed people.
  22. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/GMT_4YP_17_1
    Bone fracture is a major issue affecting millions of people annually, and we have recently been involved in research which has the potential to contribute significantly to both our understanding of
  23. 9 Aug 2005: We therefore see that the concepts of signal and noise can be task-specific: the varia-tion between different people’s speech is noise to a speech-recognition system, for
  24. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/GMT_4YP_20_3
    There are a variety of bone diseases which affect many people, and we have recently been involved in research which has the potential to contribute significantly to the accurate detection of
  25. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/GMT_4YP_20_2
    These have many potential benefits, and it is known that indeed people reliably demonstrate osseointegration of the bone into such an implant.
  26. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/GMT_3dus
    People / Contacts.
  27. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/GMT_4YP_23_3
    metal. But CT imaging is used for all sorts of things in medicine: and many people have some sort of metal in their body, either from a hip replacement, or stent,
  28. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/GMT_4YP_18_3
    metal. But CT imaging is used for all sorts of things in medicine: and many people have some sort of metal in their body, either from a hip replacement, or stent,
  29. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/GMT_4YP_24_2
    But CT imaging is used for all sorts of things in medicine: and many people have some sort of metal in their body, either from a hip replacement, or stent, or
  30. Abstract for johnson_tr330

    mi.eng.cam.ac.uk/reports/abstracts/johnson_tr330.html
    27 Jul 2020: the archive becomes an audio library, where people can scan documents and find information they need without having to listen to the entire audio. ... Similarly, speaking styles may vary. Speech is no longer in the controlled form people use when they
  31. 13 Jul 2006: Who to contact. This page has been created in an attempt to help people who wish to contact us, or obtain information aboutor the University of Cambridge to either find out
  32. Abstract for senior_bmvc

    mi.eng.cam.ac.uk/reports/abstracts/senior_bmvc.html
    27 Jul 2020: Abstract for senior_bmvc. British Machine Vision Association. OFF-LINE HANDWRITING RECOGNITION BY RECURRENT ERROR PROPAGATION NETWORKS. A. W. Senior and F. Fallside. September 1992. Recent years have seen an upsurge of interest in computer
  33. Abstract for oa214_IVC_2005_paper1

    mi.eng.cam.ac.uk/reports/abstracts/oa214_IVC_2005_paper1.html
    27 Jul 2020: Recognition rate of 98% was achieved on a database of 100 people under varying illumination.
  34. Abstract for oa214_FPIV_2004_paper1

    mi.eng.cam.ac.uk/reports/abstracts/oa214_FPIV_2004_paper1.html
    27 Jul 2020: Recognition rates of 97-100% are consistently achieved on databases of 35-90 people.
  35. Abstract for brostow_MotionInCrowdsCVPR06

    mi.eng.cam.ac.uk/reports/abstracts/brostow_MotionInCrowdsCVPR06.html
    27 Jul 2020: Our proposed general detection algorithm can be augmented with subject-specific filtering, but is shown to already be effective at detecting individual entities in crowds of people, insects, and animals.
  36. 1 Jan 2024: Spend sometime admiring the amazing things that people have done with Lego, from Rubik’s cube solvers towalking bipeds to bridge-laying robots to Segways.
  37. PowerPoint プレゼンテーション

    mi.eng.cam.ac.uk/UKSpeech2017/posters/e_tsunoo.pdf
    3 Jul 2018: More than 70 people die every day while fishing at sea.
  38. An avatar-based system for identifying individuals likely to develop…

    mi.eng.cam.ac.uk/UKSpeech2017/posters/b_mirheidari.pdf
    17 Nov 2017: Conversation analysis (CA) [3] (an approach tostudy social interaction/communication ability) hasbeen used for people with dementia (e.g. ... people which has been used recently forpeople with dementia (e.g.
  39. Clinically Practical Freehand Three-Dimensional Ultrasound

    mi.eng.cam.ac.uk/research/projects/cp3dus/
    22 Jul 2010: People / Contacts.
  40. Deep Density Networks with Uncertainty for spontaneous spoken…

    mi.eng.cam.ac.uk/UKSpeech2017/posters/a_malinin.pdf
    17 Nov 2017: ALTA Institute / Department of Engineering, University of Cambridge. Introduction. I Many people are learning English want official qualificationsI To help meet this demand: Automatic assessment of spoken English.
  41. Use of Graphemic Lexicons for Spoken Language Assessment

    mi.eng.cam.ac.uk/UKSpeech2017/posters/k_knill.pdf
    17 Nov 2017: 1. Introduction. Assessment of spoken English of non-native (L2) learners:I Many people are learning English want official qualificationsI To help meet this demand:.
  42. Who Really Spoke When? Finding Speaker Turns and Identities in…

    mi.eng.cam.ac.uk/reports/full_html/tranter_icassp06.html/
    9 Dec 2006: as locating particular speakers in databases, tracking speakers across multiple audio documents or broadcasts, or finding which people support which views in multi-speaker debates. ... For example, speaker models can be built for people who are likely to
  43. Bin Jia, Khe Chai Sim et al: CU-HTK RT03 ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/jia_rt03s.pdf
    23 Jun 2003: Language Model. • Sources of data (using LDC character-to-word segmentor)– Acoustic training data (modifier Kneser-Ney)– News corpora: TDT[2,3,4], China Radio, People’s Daily, Xinhua (Good-.
  44. Unsupervised Bayesian Detection of Independent Motion in Crowds…

    mi.eng.cam.ac.uk/reports/svr-ftp/brostow_MotionInCrowdsCVPR06.pdf
    14 Sep 2006: The algo-rithm is tested to give quantitative results on crowds of upto 33 people. ... 16] D. Ramanan and D. A. Forsyth. Finding and tracking people from the bottomup.
  45. On Person Authentication by Fusing Visual and Thermal Face ...

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_AVSS06.pdf
    1 Sep 2006: The practical importance of this can be seen bynoting that in the US in 2000 roughly 96 million people, or34% of the total population, wore prescription glasses [18]. ... 1-to-N and 1-to-1 matching scenarios. In the former case,we assumed that test data
  46. Face Recognition from Face Motion Manifolds using Robust…

    mi.eng.cam.ac.uk/reports/svr-ftp/oa214_FPIV_2004_paper1.pdf
    8 Aug 2005: Recognition ratesof 97–100% are consistently achieved on databases of 35–90 people. ... Shown is the identificationrate (%) for five databases of 35 people (1–5) and one of 90 (6).
  47. 4 BEAR, TAYLOR: VISUAL SPEECH RECOGNITION: A MINI REVIEW ...

    mi.eng.cam.ac.uk/UKSpeech2017/posters/h_bear_poster2.pdf
    23 Dec 2017: Most people, including those with perfect hearing, use visual information from thespeaker’s face and body to decode speech when it is available.
  48. WHO REALLY SPOKE WHEN?FINDING SPEAKER TURNS AND IDENTITIES IN ...

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_icassp06.pdf
    9 Dec 2006: particular speakers in databases,tracking speakers across multiple audio documents or broadcasts, orfinding which people support which views in multi-speaker debates.This work considers an extension to the ‘who spoke ... For exam-ple, speaker models
  49. EUROGRAPHICS 2006 / E. Gröller and L. Szirmay-Kalos(Guest Editors) ...

    mi.eng.cam.ac.uk/reports/svr-ftp/johnson_semantic06.pdf
    1 Jun 2006: Our primary contribution is a new method forcreating images of specific things and people, with minimalhuman effort. ... The canvas also accepts other similar semantic labels suchas proper names of people, and can be supplemented withcopy-pasted islands
  50. Spoken Document Retrieval for TREC-7 at Cambridge University

    mi.eng.cam.ac.uk/reports/full_html/johnson_trec7.html/
    30 Mar 2000: An example of the word-pairs added in this way is:. CU60 :. How many people have been murdered by the IRA in. Northern Ireland.
  51. techreport_20060422MJ.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/brostow_Eurographics06.pdf
    14 Sep 2006: Our primary contributionis a new method for creating images of specific thingsand people, with minimal human effort. ... semantic labels such as proper names of people, andcan be supplemented with copy-pasted islands of pixelsfor categories that lack

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