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21 Sep 2006: Research in sign language recogni-tion is therefore useful in building an interface between deaf and hearing people, and alsoin developing novel human-computer interfaces. ... These 5 hand shapes were selected because people can easilytell them apart

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

20 Feb 2018: In our evaluation, we demon-strate substantial gains for Hebrew and Croatian, both of whichare spoken by less than 10 million people worldwide.

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.

23 Dec 2004: In addition to the 72 hours of acoustic training, six news cor-pora were used to train the language model, Mandarin TDT[2,3,4],China Radio, People’s Daily and

Professor Roberto Cipolla, Department of Engineering. Archive. In this section, you can find archived presentations, publications, press articles and computer vision software. Copyright 2008 Roberto Cipolla.

13 Mar 2018: Expressiveness isan important aspect of any direct interaction between people.The expressions convey additional information to the listenerbeyond the spoken words. ... Twenty people wereasked to identify the emotions depicted in the original au-dio/video

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

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).

19 May 2014: 4. Motion Analysis. Detection and. tracking people in crowds. Brostow and Cipolla 2006. ... Image motion. Tracking people in crowds. Cognitive Systems Engineering. 5. Detection and recognition in video.

10 Apr 2000: the archive becomes an audio library, where people can scan documents and findinformation they need without having to listen to the entire audio. ... lot","lot",414.490414.760:C,"of","of",414.760414.880:C,"people","people",414.880415.680:C,"angry","angry"

17 Nov 2021: Finally, my thanks go to the people who kept me sane over the years, inparticular my parents, Panos and Elena, Alkisti, and Violeta. ... Over a billion people are learning English around the world [99] and millions take assess-ments every year.

7 Nov 2014: Whilst much of this work hasbeen published, the most valuable IP isn’treally vested in publications or patents, butin people's heads. ... Inlarge part, our success in developing cutting-edge technology can be attributed not toformal processes for

19 Jan 2023: Close to 2 billion people worldwide use and/or are learning English as a second language• Not enough teachers or examiners!

12 May 2003: Springer-Verlag, London, 1998. [4] C. Bregler and J. Malik. Tracking people with twists and ex-ponential maps.

15 Jun 2017: femur. 1 Introduction. Hip fractures are the most common cause of acute orthopaedic hospital admission in older people (Parkerand Johansen, 2006), with their annual incidence projected to rise worldwide from

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

3 Apr 2006: Text input with a one-dimensionalcontinuous signal is possible via the Dasher system [19] andthese simple uses for the S3GP offer a light-weight com-munication device for people that are ... people with repetitive strain injuries.

19 May 2014: Hand detection system. People and pose detection. People and pose detection.

11 Nov 2005: understanding andsupporting the goals of people highlights the rich op-portunities ahead for harnessing probability and utilityat the computer{human interface.