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13 Mar 2018: Inour evaluation we empirically demonstrate the derived. M-T Pham, O Woodford, F Perbet, R Gherardi, B StengerToshiba Research Europe Ltd.208 Cambridge Science Park, Milton RoadCambridge, CB4 0GZ, UKE-mail: ... mtpham@crl.toshiba.co.ukA MakiComputer

13 Mar 2018: IEEE TRANSACTIONS OF PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1. Multi-Scale Categorical Object RecognitionUsing Contour Fragments. Jamie Shotton, Andrew Blake, Roberto Cipolla. Abstract— Psychophysical studies [9], [17] show that wecan recognize

5 Jun 2006: Over the years I have benefited greatly from interaction with other members of theSpeech, Vision and Robotics group at Cambridge University. ... My research and conference trips have been funded by the EPSRC, DRA Malvern,the Royal Academy of Engineering,

14 Jun 2006: I am grateful to Cambridge University Engineering Department, the Center for Languageand Speech Processing at The Johns Hopkins University, Darwin College, EPSRC, theRoyal Academy of Engineering, the Signal, Speech and Language ... The LIMSI

9 Aug 2005: at the University of Cambridge. Summary. The discovery of the independent components of a series of data is the ‘holy grail’ of unsuper-vised learning systems. ... 2.1.2 Joint and conditional entropy. If we now consider a pair of sources X and Y with

10 May 2013: University of Cambridge. Engineering Part IB. Paper 8 Information Engineering. Image Search and Matching. ... Image texture arises from large numbers of smallobjects such as grass, brush, pebbles and hair andsurfaces with orderly and repetitive patterns

13 Mar 2018: IEEE TRANSACTIONS OF PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1. Multi-Scale Categorical Object RecognitionUsing Contour Fragments. Jamie Shotton, Andrew Blake, Roberto Cipolla. Abstract— Psychophysical studies [9], [17] show that wecan recognize

28 Jul 2009: The MicrosoftResearch Cambridge database (Shotton et al., 2006) is among themost relevant, because it includes per-pixel class labels for everyphotograph in the set. ... Processing the CamVid Database using TextonBoost gave verysimilar overall scores to

13 Mar 2018: Unsupervised Bayesian Detection of Independent Motion in Crowds. Gabriel J. Brostow and Roberto CipollaUniversity of Cambridge. ... Thepenghurry-01 sequence comes from fotosearch.com. Thefirst author was supported by funding from the Cambridge-MIT

8 May 2012: University of Cambridge. Engineering Part IB. Paper 8 Information Engineering. Image Search and Matching. ... Image texture arises from large numbers of smallobjects such as grass, brush, pebbles and hair andsurfaces with orderly and repetitive patterns

14 Sep 2006: Unsupervised Bayesian Detection of Independent Motion in Crowds. Gabriel J. Brostow and Roberto CipollaUniversity of Cambridge. ... Thepenghurry-01 sequence comes from fotosearch.com. Thefirst author was supported by funding from the Cambridge-MIT

13 Mar 2018: The MicrosoftResearch Cambridge database (Shotton et al., 2006) is among themost relevant, because it includes per-pixel class labels for everyphotograph in the set. ... Processing the CamVid Database using TextonBoost gave verysimilar overall scores to

13 Mar 2018: Efficiently Combining Contour and TextureCues for Object Recognition. Jamie Shotton† Andrew Blake† Roberto Cipolla†Microsoft Research Cambridge University of Cambridge. ... animals). We improve on [23] by using more powerful densetexture-based

16 Jan 2008: my studies in Cambridge, and for enabling me to attend several international conferences. ... time in Cambridge. Finally, my biggest thanks go to my parents for their unwavering.

12 Jul 2018: Structured Deep Neural Networks. for Speech Recognition. Chunyang Wu. Department of EngineeringUniversity of Cambridge. ... The friends I made in Cambridge will be a treasure forever.

27 Mar 2013: Figure 1b on the facing page illustrates a bigramtransducerB over an alphabet {a,b}, with weights in N. ... Martin Layton (2006). Augmented Statistical Models for Classifying Sequence Data.Ph.D. thesis, Cambridge University.