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22 Jul 2010: People / Contacts.

Professor Roberto Cipolla, Department of Engineering. All Publications. 2023.. G. Bae, M. de la Gorce, T. Baltrusaitis, C. Hewitt, D. Chen, J. Valentin, R. Cipolla and D. Chen. DigiFace-1M: 1 million digital face images for face recognition. In

26 Sep 2016: Lina M. Rojas-Barahona, M. Gašić, N. Mrkšić, P-H. Su,S. Ultes, T-H. Wen and S. Young. Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding. In Coling, 2016. To appear. M. Gašić, N.

Professor Roberto Cipolla, Department of Engineering. Conference Proceedings. 2023.. G. Bae, M. de la Gorce, T. Baltrusaitis, C. Hewitt, D. Chen, J. Valentin, R. Cipolla and D. Chen. DigiFace-1M: 1 million digital face images for face recognition.

9 Jul 2024: I wouldalso like to thank my family and many other people I met during my PhD for supporting meduring this journey.

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

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.

9 Nov 2023: uFACT: Unfaithful alien-corpora training forsemantically consistent data-to-text generation. In Findings of the Association for Computational Linguistics:ACL 2022, 2836–2841, Dublin, Ireland, May 2022.

23 Feb 2002: query-set specific [TREC-8 terse queries have a slightly different degradation, but were generated in house with different people and restrictions to those for TREC-9.].

3 Jul 2018: More than 70 people die every day while fishing at sea.

11 Jun 2019: First, with few exceptions, the systems thatwere built were systems of the same type that people were alreadyworking on; only the language was different. ... Many people, working alone or insmall groups, are looking for ways of building systems for

20 Feb 2018: We choose human/wizard rather than human/human dialogs as people behave differently toward (what they perceive to be) machines and other people as discussed in Jönsson and Dahlbick, 1988 and

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.

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:.

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.

26 Sep 2016: Spoken Dialogue Systems (SDS) encompass the technologies required to build effective man-machine interfaces which depend primarily on voice. To date they have mostly been deployed in telephone-based call centre applications such as banking, billing

20 Feb 2018: Spoken dialogue systems (SDS) offer a naturalway for people to interact with computers.

20 Feb 2018: slots may have some specific char-acteristics causing people addressing them differ-ently in a dialogue.

20 Feb 2018: Since the model is so general that the encoder anddecoder can be chosen separately given the task at hand, many people have adopted it to solve a.

20 Feb 2018: utterances were recorded by at least two people.

20 Feb 2018: 3. Proposed dialogue collection framework3.1. Description. The basis of our collection approach is observing two people in-teract in the presence of a simulated ASR channel.

20 Feb 2018: People with disabilities that prevent them from typing have also embraced speech recognition systems.

20 Feb 2018: An important aspect of the challenge is that the quality of service to the end users (people in Pittsburgh) had to be maintained and thus an initial robustness and quality test

20 Feb 2018: 3.4. Amazon MTurk service. In order to evaluate or train a policy with real people we used crowd-sourcing, for which we used the Amazon MTurk service in a

20 Feb 2018: The ultimategoal should be to design and deploy such dialogue systems thatthey would be used by people genuinely interested in the serviceand to reach a volume of calls that would allow

20 Feb 2018: A general background model wasnot. found to be helpful as the things that people tend to say in thecon-text of the dialogue system are very limited, and well covered bydata

12 Apr 2022: people moving in a room. Include details of the calibration, the image processing. ... required to detect the people and the visual tracking. [50%]. (c) Two images of a scene are acquired by a stereo pair of cameras with par-.

20 Feb 2018: An extensive analysis of the an-notations from three different people revealed ahigh level of inter-annotator agreement (rangingfrom 0.81 to 0.94, depending on which pair of an-notations

20 Feb 2018: Rep.,MIT, 2003, http://research.microsoft.com/en-us/um/people/minka/papers/dirichlet/. [19] F. Jurcicek, B. Thomson, and S. Young, “Reinforcement learn-ing for parameter estimation in statistical spoken

9 Apr 2022: Image. Professor Roberto Cipolla. People. Prof. Roberto Cipolla. Related links. The International Association forPattern Recognition (IAPR) Fellowsand Awards.

23 Oct 2023: Simplify your answer. [25%]. (iii) When training the network described in Fig.1, poor performance was observedwhen: images of people who were not represented in the training data and when. ... 224) of people.

20 Feb 2018: The results were then averagedand presented with one standard error. 5) The MTurk Amazon Service: In order to evaluate differ-ent policies with real people we recruited subjects using theAmazon MTurk

22 Nov 2006: Word-lists and Language Models: In addition to the 72 hours ofacoustic training, six news corpora were used to train the languagemodel, Mandarin TDT[2,3,4], China Radio, People’s

22 Nov 2006: Mandarin TDT[2,3,4], Gigaword (XinHua) and People’s Daily.

9 Apr 2022: First, the screen of the glucosemeter is detected. The researchers used a single training image and augmented it with random backgrounds,particularly backgrounds with people. ... 0reddit 2. 6 0vkontakte. 940. Research home News Our people Spotlights

15 Jun 2018: 1. IntroductionBy 2020 the number of people worldwide using or learningEnglish as an additional language is expected to exceed 1.5billion [1].

16 Feb 2008: 4. It is necessary to strengthen monitoring andforecast work and scientifically dispatch people andmaterials. ... sought advanced weapons from the United States in a bid to confront the Democratic People 's Republic of Korea.

15 Jun 2018: 1. IntroductionMore than 1.5 billion people are predicted to be learning En-glish as an additional language by 2020 [1].

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-.

19 May 2014: Detection and tracking of objects: hands, faces and people. • Machine learning – object categorization and recognition. ... Realtime detection of objects: hands, faces and people. • Machine Learning for object categorization and recognition.

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.

11 Nov 2005: Whilespeaking the same content, people may have significantlydifferent facial expressions depending on whether they arehappy or sad.

20 Feb 2018: Fig. 8 displays the percentage preference rates. Ascan be seen, spectral conversions were consistently pre-ferred for anger and sadness (t-test, p 0:01), while forsurprise most people preferred unmodified

21 Nov 2023: Multilingual Models in Neural MachineTranslation. Guangyu Yang. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. Clare Hall August

20 Feb 2018: The SACTI corpus consists of task-. oriented dialogues between two people in a simulated ASR channel.

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

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

19 May 2014: http://www.eng.cam.ac.uk/cipolla/people.html. Overview. 1. 3D shape and camera motion recovery:. Making digital copies of 3D objects from. ... People and pose detection. A Tracked Sequence. Tracking people in crowdsCognitive Systems Engineering.

19 May 2014: Department of Engineering. Research team. http://www.eng.cam.ac.uk/cipolla/people.html. False starts? (1992). If the only tool you have is a hammer you. ... Tracking - 3D mouse. Rotating in clutter. Opening and closing. Detecting people.

19 May 2014: Tracking - 3D mouse. Real-time visual controller for Dasher. People and pose detection. ... Tracking people in crowds. Cognitive Systems Engineering. 10. Recognition in video using CCA.