Search
Search Funnelback University
- Refined by:
- Date: 2014
1 -
20 of
40
search results for TALK:PC53 20 |u:mi.eng.cam.ac.uk
where 0
match all words and 40
match some words.
Results that match 1 of 2 words
-
Oliver Williams University of Cambridge Andrew Blake Microsoft…
mi.eng.cam.ac.uk/~cipolla/archive/Presentations/2003-ICCV-tracking-RVM.pdf19 May 2014: Treat score as function of. position. -100 -80 -60 -40 -20 0 20 40 60 80 100-3. ... 100 Training. examples. 12 Relevant vectors. remain. 0 10 20 30 40 50 60 70 80 90 100-0.6. -
slides.dvi
mi.eng.cam.ac.uk/~mjfg/Bilbao14/talk.pdf25 Jun 2014: Cambridge University. Engineering DepartmenteNTERFACE June 2014 20. Controllable and Adaptable Statistical Parametric Speech Synthesis Systems. ... recognition in different environments [19]/speaker identification [20]. Cambridge University. Engineering -
Knill_IS14_1.dvi
mi.eng.cam.ac.uk/~ar527/knill_is2014a.pdf10 Nov 2014: from multiple languages [20]. Context dependent (CD) out-. put layer targets were adopted as they have been found to yield. ... 307–312. [20] G. Hinton, L. Deng et al., “Deep Neural Networks for AcousticModeling in Speech Recognition,” Signal -
How to prepare and deliver a presentation
mi.eng.cam.ac.uk/~cipolla/archive/Presentations/2007-Making-Presentations.pdf19 May 2014: 10 20 30 40 50 60. See. Hear. Fear of public speaking. • ... Arial and 32 pt. Arial and 28 pt. Arial and 20 pt. -
INFINITE STRUCTURED SUPPORT VECTOR MACHINES FOR SPEECH RECOGNITION…
mi.eng.cam.ac.uk/~mjfg/yang_ICASSP14.pdf28 Apr 2014: Avgtesta testb testc. HMM — 9.83 9.11 9.53 9.48SVM. Log-Like8.29 7.90 8.61 8.20. ... 20, no. 7, pp. 2149–2158, 2012. [5] Robert A. Jacobs, Michael I. -
Combining Tandem and Hybrid Systems for Improved Speech…
mi.eng.cam.ac.uk/~ar527/rath_is2014a.pdf10 Nov 2014: The underlying context-dependent states were specifiedusing state [19, 20, 21], rather than phone-state, roots of thedecision tree. ... 20] S. J. Young, J. J. Odell, and P. C. Woodland, “Tree-basedstate tying for high accuracy acoustic modelling,” in -
Model-Based Hand Tracking
mi.eng.cam.ac.uk/~cipolla/archive/Presentations/2003-MOSX-Hand-Detection.pdf19 May 2014: 9.0 20.0 17.0. Pruning the Search-Tree. 9.0 20.0 17.0. Pruning the Search-Tree. ... 9.0 20.0 17.0. 10.0 4.5 6.7. Pruning the Search-Tree. 9.0 20.0 17.0. -
ICASSP2014b.dvi
mi.eng.cam.ac.uk/~mjfg/yoshioka_ICASSP14.pdf3 Apr 2014: Audio, Speech, Language Process.,vol. 20, no. 1, pp. 30–42, 2012. [2] L. ... Int. Conf.Acoust., Speech, Signal Process., 2013, pp. 7063–7067. [20] M. J. -
Rank-HCI
mi.eng.cam.ac.uk/~cipolla/archive/Presentations/2005-Rank-HCI.pdf19 May 2014: Detecting frontal faces. 0 10 20 30 40 50 60 70 80. -
EFFICIENT LATTICE RESCORING USINGRECURRENT NEURAL NETWORK LANGUAGE…
mi.eng.cam.ac.uk/~mjfg/xl207_ICASSP14a.pdf28 Apr 2014: 3. HISTORY CONTEXT CLUSTERING FOR RNNLMS. Efficient use of language models in speech recognizers [20, 19, 17]requires that the context dependent states representing different his-tories during search can be ... In common with the n-gram history based -
Face and hand detection - ICT
mi.eng.cam.ac.uk/~cipolla/archive/Presentations/2003-ICT-Hands-Faces.pdf19 May 2014: Detecting frontal faces. 0 10 20 30 40 50 60 70 80. -
Cambridge University Engineering Department: News item
mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2012-CUED-Metail.pdf7 Nov 2014: 20/03/2012 09:31Cambridge University Engineering Department: News item. Page 1 of 4http://www.eng.cam.ac.uk/news/stories/2012/Me_tail/. ... Today, fashion e-commerceis one of the fastest growing Internet sectorswith a UK growth rate of around 20% perannum -
2010-FREng
mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2010-CUED-FREng.pdf7 Nov 2014: 20 September 2010. Congratulations to Roberto Cipolla Professor ofInformation Engineering and Dr Ivor Day SeniorRolls-Royce Research Fellow, at the WhittleLaboratory, who have been elected as Fellows of theRoyal Academy of -
3-D Tech Lets Online Shoppers 'Try on' Clothes |…
mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2013-Entrepreneur-Metail.pdf7 Nov 2014: This year Adey-oola hopes to secure customers in the U.S., but says he's going after only the top 20 e-tailers. -
Combining Tandem and Hybrid Systems for Improved Speech…
mi.eng.cam.ac.uk/~mjfg/interspeech14-rath.pdf23 Jun 2014: The underlying context-dependent states were specifiedusing state [19, 20, 21], rather than phone-state, roots of thedecision tree. ... 20] S. J. Young, J. J. Odell, and P. C. Woodland, “Tree-basedstate tying for high accuracy acoustic modelling,” in -
Knill_IS14_final.dvi
mi.eng.cam.ac.uk/~mjfg/interspeech14-knill.pdf23 Jun 2014: ing [20] state position root phonetic decision trees [21, 22] are. ... 25, pp. 519–534, 2010. [20] S. Young, J. Odell, and P. -
Cambridge University Engineering Department: News item
mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2011-CUED-Kinect.pdf7 Nov 2014: 20 January 2011. Dr Jamie Shotton completed his PhD in the MachineIntelligence Lab with Professor Cipolla, here at theDepartment of Engineering from 2003-2007. -
3D computer model emerges from a pile of snaps - ProQuest
mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2005-NewScientist-3D-models.pdf7 Nov 2014: Copyright Reed Business Information UK Aug 20-Aug 26, 2005. -
unsup.eps
mi.eng.cam.ac.uk/~ar527/ragni_is2014a.pdf20 Jun 2014: When applied to speakers, the SFM essentiallyyields a simplified voice morphing [20] scheme. ... 20] H. Ye and S. J. Young, “High quality voice morphing,” inICASSP,vol. -
unsup.eps
mi.eng.cam.ac.uk/~mjfg/interspeech14-ragni.pdf23 Jun 2014: When applied to speakers, the SFM essentiallyyields a simplified voice morphing [20] scheme. ... 20] H. Ye and S. J. Young, “High quality voice morphing,” inICASSP,vol.
Search history
Recently clicked results
Recently clicked results
Your click history is empty.
Recent searches
- katalk:za31 24 / / / / / |u:www-civ.eng.cam.ac.uk (11) · moments ago
- watson |u:www.corpus.cam.ac.uk (6) · moments ago
Recent searches
Your search history is empty.