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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/niesler_thesis.pdf9 Aug 2005: Both their large size (and consequent memory requirements),and the training set sparseness associated with large numbers of parameters, limits n to 2, 3 or perhaps4. ... from the symmetry requirement, we may write:. Probability in of any event occurring -
Minimum Bayes-Risk Techniquesin Automatic Speech Recognition and…
mi.eng.cam.ac.uk/~wjb31/ppubs/ShankarKumarDiss04.pdf16 Feb 2008: 82. 4.2 Distribution of the number of words in the target and the sourcephrases over the Phrase-Pair Inventory on the French-English Task.The entries are phrase-pair counts ... 83. 4.3 Distribution of the number of words in the target and the -
sig-004.dvi
mi.eng.cam.ac.uk/~mjfg/mjfg_NOW.pdf19 Mar 2008: Foundations and Trends R inSignal ProcessingVol. 1, No. 3 (2007) 195–304c 2008 M. Gales and S. YoungDOI: 10.1561/2000000004. The Application of Hidden Markov Modelsin Speech Recognition. Mark Gales1 and Steve Young2. 1 Cambridge University -
A New Distance for Scale-Invariant 3D Shape Recognition and ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2011-ICCV-3D-object-recognition.pdf13 Mar 2018: 10] quantize translations and rotations in twoseparate 3D arrays; peak entries in both arrays indicate thepose of the object, but multiple objects create ambiguities.Knopp et al. ... This is not practical using Hough-based approaches,due to their -
BUDVYTIS et al.: LABEL PROPAGATION 1 Label propagation in ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2010-BMVC-label-propagation.pdf13 Mar 2018: Parts around the vanishing point and entry points of moving objects into the scene, suchas cross roads. ... Computational requirements The E-step in algorithm2 was implemented in C# with a 8core processor at a cost of 90s/frame. -
Improving Attention-based Sequence-to-sequence Models
mi.eng.cam.ac.uk/~mjfg/thesis_qd212.pdf5 Jul 2022: The weights, i.e. the entries of an attention vector,indicate the focus on the input tokens. -
MODEL-BASED TECHNIQUES FORNOISE ROBUST SPEECH RECOGNITION Mark John…
mi.eng.cam.ac.uk/~mjfg/thesis.pdf5 Jun 2006: MODEL-BASED TECHNIQUES FORNOISE ROBUST SPEECH RECOGNITION. Mark John Francis Gales. Gonville and Caius College. September 1995. Dissertation submitted to the University of Cambridgefor the degree of Doctor of Philosophy. Declaration. This -
PhD Thesis
mi.eng.cam.ac.uk/~mjfg/thesis_ky219.pdf16 Nov 2007: writing. The firm requirements and countless guidance on these aspects have given me the. -
Joint Training Methods for Tandem and Hybrid Speech Recognition…
mi.eng.cam.ac.uk/~cz277/doc/Thesis-PhD.pdf11 Jul 2017: Joint Training Methods for Tandem andHybrid Speech Recognition Systems. using Deep Neural Networks. Chao Zhang. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofDoctor of Philosophy. Peterhouse July -
IEEE SIGNAL PROCESSING MAGAZINE [128] MAY 2010 This article ...
mi.eng.cam.ac.uk/~sjy/papers/youn10.pdf20 Feb 2018: As indicated in the preceding section, there are strong indicators that humans exploit similar mechanisms and overall, POMDPs appear to address all of the requirements listed in the introduction for an -
Noname manuscript No.(will be inserted by the editor) Distances ...
mi.eng.cam.ac.uk/~cipolla/publications/article/2014-IJCV-Pham.pdf13 Mar 2018: Divergences, also sometimes referred to as qua-sisemimetrics, form a further superset of metrics whichalso drop the requirement of sub-additivity, requiringonly conditions 1 and 2. -
thesis.dvi
mi.eng.cam.ac.uk/~wjb31/ppubs/VenkataramaniDiss05.pdf16 Feb 2008: requirements for the degree of Doctor of Philosophy. Baltimore, Maryland. 2005. ... given by a dictionary. A word can have more than one entry in a dictionary with a. -
Refining Architectures of Deep Convolutional Neural Networks Sukrit…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2016-CVPR-refining-CNN.pdf13 Mar 2018: Entry of (1,1) implies no stretchand splitting should be done. In Fig 5, for DR-1 , every value of b is made 1, while for DR-2 , every value of ... Ifthat test image has say 5 positive labels in ground-truth an-notations, we expect the first 5 entries of -
This article appeared in a journal published by Elsevier. ...
mi.eng.cam.ac.uk/~cipolla/publications/article/2009-CVIU-face-illumination.pdf13 Mar 2018: training data requirements, promising resultsare reported by the more recent, generalized photometric stereomethods [13,14,16] which in addition exploit class-specific con-straints of face shape and albedo. ... Fig. 6. Our offline algorithm implicitly -
Model-based Approaches to Robust SpeechRecognition in Diverse…
mi.eng.cam.ac.uk/~mjfg/thesis_yw293.pdf27 Oct 2015: virtually unlimited vocabulary size is a requirement. Besides vocabulary, the difficulty of these. ... Note that because of the use of the entry state, state 1, a1j specifies the initial state. -
Semantic Transform: Weakly Supervised Semantic Inference for Relating …
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2013-ICCV-Shankar-attrirbutes.pdf13 Mar 2018: 3Note that the main requirement is that the classes are ordered so asto correctly reflect the underlying attribute-specific themes and the learntmodel maximally separates the classes while conforming to the ... all training images forattribute am, and -
Discriminative models for speech recognition Anton Ragni Peterhouse…
mi.eng.cam.ac.uk/~mjfg/thesis_ar527.pdf2 Apr 2014: Discriminative models for speech. recognition. Anton Ragni. Peterhouse. University of Cambridge. A thesis submitted for the degree of. Doctor of Philosophy. 2013. Declaration. This dissertation is the result of my own work and includes nothing. -
Augmented Statistical Models for Classifying Sequence Data Martin…
mi.eng.cam.ac.uk/~mjfg/thesis_ml362.pdf16 Jan 2008: independent given the previous state. Upon entry to a state θt =j, a single observation, ot,. -
Statistical Machine Translationand Automatic Speech Recognitionunder…
mi.eng.cam.ac.uk/~wjb31/ppubs/LMathiasDissDec07.pdf16 Feb 2008: system can be used without modification to translate each entry, and the resulting. ... To restrict the memory requirements of the model, we extract only the phrase. -
Kernel Methods forText-Independent Speaker Verification Chris…
mi.eng.cam.ac.uk/~mjfg/thesis_cl336.pdf25 Feb 2010: Kernel Methods forText-Independent. Speaker Verification. Chris Longworth. Cambridge University Engineering Departmentand. Christ’s CollegeFebruary 23, 2010. Dissertation submitted to the University of Cambridgefor the degree of Doctor of
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