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Sparse and Semi-supervised Visual Mapping with the S3GP Oliver ...
mi.eng.cam.ac.uk/reports/svr-ftp/williams_cvpr06.pdf3 Apr 2006: In [14], error is computed using a“leave-one-out” test rather than with completely new testdata. ... A leave-one-out test for gaze-tracking data with theS3GP gives an error of 0.68. -
stenger_imavis06.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/stenger_imavis06.pdf21 Sep 2006: The parameters for both methods are setby testing the classification performance on a test setof 5000 images. ... In a first approach,the edge and colour cost terms are computed for a numberof test images. -
Temporally Varying Model Parameters forLarge Vocabulary Continuous…
mi.eng.cam.ac.uk/~mjfg/sim_INTER05.pdf22 Nov 2006: Systems aretrained using the 296 hours switchboard data (h5etrain03 )and evaluated on a 3-hour test set (dev01sub ). All systemsin this paper used 12 PLP coefficients with theC0 term plusthe first, ... 1Significance tests were carried out using the NIST -
Face Recognition from Video using the GenericShape-Illumination…
mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_ECCV06.pdf17 Feb 2006: In AFR tests, such methods are usuallyoutperformed by methods from the third class: view-based techniques e.g. ... KLD) [38]. In all tests, both training data for each person in the gallery, as well as test data,consisted of only a single sequence. -
Journal of VLSI Signal Processing manuscript No.(will be inserted ...
mi.eng.cam.ac.uk/~mjfg/layton_JVLSI07.pdf22 Nov 2006: This is used both within a cross-validationframework and with a held-out test set, the eval03 dataset [20]. ... This is easilydemonstrated on the 6-hour eval03 test set [20]. SVMswere trained to disambiguate ten of the most confusablepairs. -
Explicitly Generating Complementary Systems for Large…
mi.eng.cam.ac.uk/~mjfg/breslin_INTER06.pdf22 Nov 2006: Thus, the final fea-ture vector has 42 dimensions. Results are given on two test sets:dev04f consists of 0.5 hours of CCTV data from shows broad-cast in November ... Thiseffect is seen for both complementary models, on both test sets. -
paper.dvi
mi.eng.cam.ac.uk/~mjfg/liao_INTER06.pdf22 Nov 2006: Table 1: Clean, matched andSPLICE on AURORA 2.0 test set A,averaged across N1-N4, WER(%). ... M-Joint1 2.43 3.82 6.97 17.1416 1.95 2.80 4.23 9.89. Table 2: Model-basedJoint systems’ performance on AURORA2.0 test set A, averaged -
johnson06stable.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/johnson_stable06.pdf18 Sep 2006: create a set of such images for their tests in [7]), avideo taken of the object in its environment (e.g. ... The first setting was used as training, with the others used as test sets. -
Multi-Sensory Face Biometric Fusion (for Personal Identification)…
mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_OTCBVS06.pdf19 Mar 2006: This is challenging across large posevariations, such as those contained in our test set. ... Face recognition vendor test 2002. Technical report,National Institute of Standards and Technology, 2003. -
Joint Uncertainty Decoding for Noise Robust Speech Recognition H. ...
mi.eng.cam.ac.uk/~mjfg/liao_INTER05.pdf19 Dec 2006: When models trainedin clean conditions are used in the real world, the mismatchbetween the training conditions and the test causes significantloss in recognition accuracy. ... Here. P (šn|xt, M̌) P (šn|yt, M̌) (10). where the model M̌ is now -
The Layout Consistent Random Field for Recognizing and Segmenting ...
mi.eng.cam.ac.uk/reports/svr-ftp/shotton_cvpr06.pdf3 Apr 2006: The trees are built in a simple, greedy fashion, wherenon-terminal node tests are chosen from a set of candidatefeatures together with a set of candidate thresholds to max-imise the ... and used for training wereclean, single-instance images, and so our -
MODEL-BASED TECHNIQUES FORNOISE ROBUST SPEECH RECOGNITION Mark John…
mi.eng.cam.ac.uk/~mjfg/thesis.pdf5 Jun 2006: The secondtest set was based on the 1000 word DARPA Resource Management test set. ... 71. 8.1 Average SNR for the RM test sets adding Lynx Helicopter noise attenuatedby 20dB. -
IEEE TRANS. ON SAP, VOL. ?, NO. ??, ????? ...
mi.eng.cam.ac.uk/research/projects/AGILE/publications/mjfg_ASL.pdf23 Feb 2006: The various models andrecognition configurations are evaluated using several recent BNdevelopment and evaluation test sets. ... Test set # Shows Hours Period. dev03 6 3 Jan. 2001eval03 6 3 Feb. -
yu.dvi
mi.eng.cam.ac.uk/research/projects/AGILE/publications/ky_ICASSP06.pdf23 Feb 2006: All test data are assumed to be available fordecoding in a single block. ... However, in some real world appli-cations test data often become available gradually. -
SENSORLESS RECONSTRUCTIONOF UNCONSTRAINED FREEHAND 3D ULTRASOUND DATA …
mi.eng.cam.ac.uk/reports/svr-ftp/housden_tr553.pdf22 May 2006: In Section 3, we describe experiments with a hand-held probe designedto test the capabilities and limitations of the new algorithms. ... M. Rubin. Determination of scan plane motionusing speckle decorrelation: theoretical considerations and initial test. -
PHASE-BASED ULTRASONICDEFORMATION ESTIMATION J. E. Lindop, G. M.…
mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr555.pdf25 May 2006: WB (t) =. π |φs2(t d̃k) φs1(t)|. π. n. (25). We test the simple strategy of Equation 25, where n determines the severity of the deweighting.WPS variants with n ... We test two families of deformation estimators. The first is an example of -
C:/SFWDoc/Academic/Publications/2005/ICCV_HCI_2005/FinalPaper/iccv_hci…
mi.eng.cam.ac.uk/reports/svr-ftp/sfwong_iccv_hci05.pdf21 Sep 2006: we can start from an initially small model and test the ‘relevance’ ofeach new input vector i sequentially. ... The testing sets of all five pairs were used to test the system. -
ESTIMATION OF DISPLACEMENTLOCATION FOR ENHANCED STRAIN IMAGING J. E.…
mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr550.pdf30 Mar 2006: Tests of adaptive strain estimation on uniformstrain simulations are therefore expected to be independent of the AM effect. ... Fair comparison is made possible by fixing the window parameters across all of the estimatorsin each test. -
C:/SFWDoc/Academic/Publications/2006/ICPR_2006/Final_AppTrack/icpr_200…
mi.eng.cam.ac.uk/reports/svr-ftp/sfwong_icpr06b.pdf21 Sep 2006: This meanswe can start from an initially small model and test the ‘rele-vance’ of each new input vectori sequentially. -
thesis.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/nock_thesis.pdf14 Jun 2006: Note that the bandwidth of the test data is fixed (wide-band)across all three tests in the first column. ... Again, the bandwidth of the test data is fixed (narrow-band) across all three tests in this second column.
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