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20 Aug 2009: Each entry inthe histogram denotes the number of times intensity i in one image coincides with intensity jin another image. ... Dividing each entry by the total number of entries gives the joint probabilitydistribution pij.

20 Feb 2018: For example the system needs to provide a user with a description of a laptop in a storethat meets specific user requirements. ... a given database entry and the fifth the sum of the number of values of each requestable slot.

9 Aug 2005: The entries in the CPT can be estimated directly by usingthe statistics of the set of examples (Russell et.al. ... fil-ters to give a 1% error approximation for a 3:1 filter (Perona[11]) - a huge saving in computational requirements.

20 Feb 2018: The main requirements for representing partitions are that each partition is unique and thatthey are represented in a way that allows a large number of partitions to be maintained efficientlyand compactly. ... The features of the summary space are: top

20 Feb 2018: The state consists of the variables needed to track theprogress of the dialogue and the attribute values (often called slots) that determine theuser’s requirements. ... This is especiallyuseful in commercial applications where the behaviour of dialogue

13 Mar 2018: the proportional decrease inthis requirement means that gaze tracking at 10–15Hz con-stitutes a “background task” leaving the majority of cyclesfree for other processes. ... If this paper is accepted forpresentation at CVPR, text entry with S3GP

15 Feb 2006: The potential takes the form of alook-up table with an entry for each class and pixel location,. ... Sub-sampling and random feature selection for training efficiency. Theconsiderable memory and processing requirements make training on a per-pixelbasis

29 May 2012: e feature vector is divided into separatesets of dimensions for each vocabulary entry v, and the other dimensions are zero:. ... e language model features φl(w), is the interest. Its rst entry is the log-prob-abibility returned by the generative

13 Mar 2018: In thepresent work, we avoid this requirement while producingdetailed results. Pilet et al. ... The main difficultywith applying photometric stereo to deforming objects liesin the requirement of changing the light source direction foreach captured frame,

7 Oct 2011: Matrixes and vectorsA Matrixai =[A]i Row i of Aaij =[A]ij Element (i, j) of Ab Vectorbi Element i of bI Identity matrix0 Vector/matrix with all entries 01 ... matrix with all entries 1|| Determinant‖‖ NormTr() TraceA1 InverseAT TransposeAT Inverse

16 Feb 2008: This example presents the target sentence as asequence of phrases, but there is no requirement that the target wordsgenerated by a source word should appear as neighbors in the targetsentence. ... The precisionof each of these is plotted versus its

13 Mar 2018: Existing video models [7, 10, 21, 9] donot satisfy one or more of these requirements as discussedin Sec.2. ... 0.9 along the diagonals and equalvalues along the non-diagonal elements such that the sum ofall entries is unity.

22 Nov 2006: Although, for many tasks, enu-merating all possible sub-strings yields a very high di-mensional feature-space, this feature-space is sparse withnon-zero entries being calculated using efficient dynamic. ... Viterbi de-coding yields a single sequence (the

17 Nov 2021: D(can)w Dictionary entry containing canonical pronunciations (i.e. phone sequences) for a.

16 Aug 2007: In thepresent work, we avoid this requirement while producingdetailed results. Pilet et al. ... The main difficultywith applying photometric stereo to deforming objects liesin the requirement of changing the light source direction foreach captured frame,

22 May 2001: plane. Degrees of Freedom of". A generic matrix has nine degrees of freedom(dof), one for each of its entries. ... cameras$. and$. , denoted as and , respectively, each correspondence provides, when substituted in (3.5), one equation on the entries of. ".

20 Feb 2018: generalisation properties for generating unseen inputs. Section 3 describes BAGEL’s. meaning representation, which satisfies both requirements. ... intractable for non-trivial domains. Since a key requirement of this work was to develop.

13 Mar 2018: Existing video models [7, 10, 21, 9] donot satisfy one or more of these requirements as discussedin Sec.2. ... 0.9 along the diagonals and equalvalues along the non-diagonal elements such that the sum ofall entries is unity.

20 Feb 2018: the dialogue and the attribute values (often called slots) thatdetermine the user’s requirements. ... eachdiscrete codebook entry b̂i.

9 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

21 Sep 2007: While this provides an idealised method to evaluate this compensation formseparate from the noise estimation process, this is not a requirement. ... Hence, the newestimate needs to be backed off towards the old until this requirement is met.

16 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

20 Feb 2018: 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

13 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

13 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.

19 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

13 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

11 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

16 Nov 2007: writing. The firm requirements and countless guidance on these aspects have given me the.

13 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.

20 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

16 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.

5 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

5 Jul 2022: The weights, i.e. the entries of an attention vector,indicate the focus on the input tokens.

13 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

27 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.

16 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.

2 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.

16 Jan 2008: independent given the previous state. Upon entry to a state θt =j, a single observation, ot,.

13 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

13 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.

27 Mar 2013: is requirement restricts the form of the kernel. e alternative,which this paper will use, is to work directly on the primal representation of the kernel.is means that the kernel ... φ(Osi,wi), (3). where Osi indicates the observations in segment si. In

25 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

13 Mar 2018: The proposed combinedscore is computed based on repeatability ratio with respectto varying accuracy requirements. ... For each detector, the detected. Table 3 For each entry, top to bottom: The average number of interestpoints detected, the average

13 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

13 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.

16 Nov 2007: i=2 αi(τ )aij j = Ns, τ = T. (2.12). where Ns is the number of states in each HMM, including the non-emitting entry and exit states. ... moments to be stored as full matrices for each component. Again the computational requirement.

13 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

7 Nov 2014: Hand in hand with this development, and working in close collaboration with the Cambridge Computational Biology Institute (CCBI), the aim is also to increase the breadth and capacity of our postgraduate ... There are clear benefi ts for both academic and

16 Nov 2007: The diagram, adopted from. the hidden Markov model toolkit (HTK) [129], has non-emitting entry and exit states, and. ... The transitions from the non-emitting entry state are re-. estimated by â1j = γj(1) for 1 < j < Ns and the transitions from the