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MORTGAGE DEFAULT: CLASSIFICATION TREES ANALYSIS David Feldman* and…
mi.eng.cam.ac.uk/~mjfg/local/4F10/Feldman_Gross.pdf15 Nov 2005: Cross-Validation method, and the Test-Sample method. In the former, the learning. ... replace the more costly Cross-Validation misclassification estimation by the. Test-Sample method. -
Contour-Based Learning for Object Detection Jamie ShottonDepartment…
mi.eng.cam.ac.uk/reports/svr-ftp/shotton_iccv05.pdf8 Aug 2005: Test-ing was performed on 164 images containing 193 cars,and164 background images. ... Our technique relies on edge features andhigher-resolution training and test images would certainlyimprove results. -
paper.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/kim_icslp04.pdf10 Jan 2005: The transcription is either known in training orobtained by an initial, non-VTLN, decoding pass for test data.If and are the original and transformed feature vectorsrespectively then the log-likelihood ... The systems were eval-uated on two 3 hour test -
IMPLEMENTATION OF AUTOMATIC CAPITALISATIONGENERATION SYSTEMS FOR…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/kim_icassp02.pdf9 Aug 2005: We also used 3 hours of test data from the NIST 1998 Hub-4BN benchmark tests. ... Most of these words are not capitalised,if they are used in the middle of sentences. -
PRONUNCIATION MODELING BY SHARING GAUSSIAN DENSITIESACROSS PHONETIC…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/nock_euro99.pdf9 Aug 2005: Steps 6, 3, 4 and 5 are then carried out to estimateand test a pronunciation model. ... in Step 5 (Test) PER WER PER WERNone (Dictionary) 49.1% 49.1% 49.5% 58.9%Tree Pron. -
Face Recognition with Image Sets Using Manifold Density Divergence ...
mi.eng.cam.ac.uk/reports/svr-ftp/oa214_CVPR_2005_paper1.pdf8 Aug 2005: These meth-ods have achieved very good accuracy on a small number ofcontrolled test sets. ... We therefore useDKL(p(0)||p(i)) as a “distance measure” between trainingand test sets. -
Article Submitted to Computer Speech and Language Automatic…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/kim_csl04.pdf9 Aug 2005: This test data isnamed TestBNAcoustic98. TestBNAcoustic98 comprises 3 hours of acoustic data andthe transcription. ... Table 8 shows the result of the capitalisation generation system based on NE classes andpunctuation marks for these test conditions. -
A Face Recognition System for Access Control using Video ...
mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_PR06.pdf21 Dec 2005: also see [27]). In AFR tests, such methods are usually outperformed by meth-. ... the data as test input. In all tests, both training data for each person in the gallery,. -
An information-theoretic approach to facerecognition from face motion …
mi.eng.cam.ac.uk/reports/svr-ftp/oa214_IVC_2005_paper1.pdf12 Jul 2005: Illumination conditions were mildly different in training and test sequences,see Figures 8 and 9. ... 9] B. Kepenekci, Face recognition using gabor wavelet transform., Ph.D. thesis,The Middle East Technical University (2001). -
An Illumination Invariant Face Recognition System forAccess Control…
mi.eng.cam.ac.uk/reports/svr-ftp/oa214_BMVC_2004_paper1.pdf8 Aug 2005: We performed 25 recognition tests, using each database for training and testing it against all the others.For each person in a database we collected a data set consisting of ... 10] B. Kepenekci. Face Recognition Using Gabor Wavelet Transform.PhD thesis,
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