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On Person Authentication by Fusing Visual and Thermal Face ...
mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_AVSS06.pdf1 Sep 2006: a) Glasses ON. 0 20 40 60 80 100 1200.85. 0.9. ... Shashua. Learning over sets using kernel principalangles.JMLR, 4(10), 2003. [20] L. -
THE CU-HTK MANDARIN BROADCAST NEWS TRANSCRIPTION SYSTEM R. Sinha, ...
mi.eng.cam.ac.uk/research/projects/AGILE/publications/rs_ICASSP06.pdf23 Feb 2006: S1HLDA 12.4 6.6 21.1GAUSS 11.9 6.2 20.3. Table 2. Unadapted performance of baseline systems using HLDAor GAUSS front-ends, V1 segmentation and lm1.0. ... System LMCER (%). dev04f eval03m eval04. S2 GAUSS. lm1.0 12.2 5.6 20.0lm2.0 12.3 5.2 20.2lm2.1 11.5 5 -
Face Set Classification using Maximally Probable Mutual Modes Ognjen…
mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_ICPR06.pdf29 Apr 2006: λ(1)Dj = λ(2)Dj. (19). Then, writing. |Ci| =D. j=1. λ(i)j , (20). ... 12] K. K. Sung and T. Poggio. Example-based learning for view-basedhuman face detection.PAMI, 20(1), 1998. -
yu.dvi
mi.eng.cam.ac.uk/research/projects/AGILE/publications/ky_ICASSP06.pdf23 Feb 2006: Bayesian ML Train MPE TrainApprox. SI SAT SI SAT. — 32.83 — 29.20 —FI —- 32.90 — 29.74. ... Bayesian ML Train MPE TrainApprox SI SAT SI SAT. — 32.83 — 29.20 —MLthresh 31.23 — 27.81 —. ML 32.23 31.84 — 28.72MAP 30.92 30.40 — -
A New Look at Filtering Techniques for Illumination Invariance ...
mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_AFG06.pdf30 Jan 2006: 10. 15. 20. 25. 30. 35. 40. 45. Method. Err. or r. ... 5. 10. 15. 20. 25. Method. Err. or r. ate,. std. (%. ). -
C:/SFWDoc/Academic/Publications/2006/ICPR_2006/Final_ContGest/icpr_200…
mi.eng.cam.ac.uk/reports/svr-ftp/sfwong_icpr06a.pdf21 Sep 2006: 20.2 fps).Figure 3 illustrates the recognition process on a typical test-ing clip. ... Pentland. Real-time ameri-can sign language recognition using desk and wearable com-puter based video.PAMI, 20(12):1371–1375, 1998. -
johnson06stable.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/johnson_stable06.pdf18 Sep 2006: 20].Several comparison studies of the various interest points and descriptors havebeen carried out by Mikolajczyk and Schmid, of which the most recent [14] isan excellent survey of the field. ... 20] T. Tuytelaars and Luc Van Gool. Matching widely -
Multi-Sensory Face Biometric Fusion (for Personal Identification)…
mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_OTCBVS06.pdf19 Mar 2006: a) Glasses ON. 0 20 40 60 80 100 1200.85. 0.9. ... IEEE Trans. Pattern Analysis and Machine Intelli-gence, 20(12):1295–1307, 1998. [21] T. -
EUROGRAPHICS 2006 / E. Gröller and L. Szirmay-Kalos(Guest Editors) ...
mi.eng.cam.ac.uk/reports/svr-ftp/hernandez_eg06.pdf19 Sep 2006: These two steps are interleaved until convergence whichtakes about 20 steps for the sequences we experimentedwith. -
Semi-supervised Learning of Joint DensityModels for Human Pose…
mi.eng.cam.ac.uk/reports/svr-ftp/navaratnam_semi_supervised.pdf14 Sep 2006: ln = 19.99RMS= 20.83. ln = 31.49RMS = 11.61. ln = 71.82RMS= 20.81. ... ln = 98.76RMS= 34.40. ln = 18.46RMS= 10.85. ln = 20.00RMS= 31.02. -
Learning Discriminative Canonical Correlationsfor Object Recognition…
mi.eng.cam.ac.uk/reports/svr-ftp/kim_eccv06.pdf21 Sep 2006: Learning Discriminative Canonical Correlationsfor Object Recognition with Image Sets. Tae-Kyun Kim1, Josef Kittler2, and Roberto Cipolla1. 1 Department of Engineering, University of CambridgeCambridge, CB2 1PZ, UK. {tkk22,cipolla}@eng.cam.ac.uk2 -
EUROGRAPHICS 2006 / E. Gröller and L. Szirmay-Kalos(Guest Editors) ...
mi.eng.cam.ac.uk/reports/svr-ftp/johnson_semantic06.pdf1 Jun 2006: IEEE transac-tions on PAMI 20, 12 (November 2001), 1222–1239. [CDM02] CUTLER B., DORSEY J., MCMILLAN L., MÜLLERM., JAGNOW R.: A procedural approach to authoring solid mod-els. ... IEEE Trans. Pattern Analysisand Machine Intelligence 20, 1 (1998), -
The Layout Consistent Random Field for Recognizing and Segmenting ...
mi.eng.cam.ac.uk/reports/svr-ftp/shotton_cvpr06.pdf3 Apr 2006: the car), and also a subsetof 20 images from the UIUC car database [11], containingone completely visible car instance, which were segmentedby hand. ... Segmentation Accuracy: We evaluated the segmentationaccuracy on a randomly chosen subset of 20 of the -
stenger_imavis06.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/stenger_imavis06.pdf21 Sep 2006: One option that is commonlyfollowed is to independently train a classifier for each ob-ject [20]. ... InProc. 7th Int. Conf. on Computer Vi-sion, volume I, pages 20–27, Corfu, Greece, September1999. -
DYNAMIC RESOLUTION SELECTIONIN ULTRASONIC STRAIN IMAGING J. E.…
mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr566.pdf29 Sep 2006: 20. 20. 25. kernel length (samples). win. dow. leng. th (. sam. ples. ). strain = 0.5%. 50 100 150 200 250 300 350 400 450 500. ... 10. 10. 10. 10. 10. 10. 20. 20. 20. 20. 20. -
Unsupervised Bayesian Detection of Independent Motion in Crowds…
mi.eng.cam.ac.uk/reports/svr-ftp/brostow_MotionInCrowdsCVPR06.pdf14 Sep 2006: 70. 60. 50. 40. 30. 20. 10. 0. 10. Combinations of pairing Ci C. ... 20] A. Shashua, Y. Gdalyahu, and G. Hayun. Pedestrian detection for driving as-sistance systems: Single frame classification and system level performance. -
pami04.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/stenger_pami06.pdf21 Sep 2006: 20). where in this equation the imageI is indexed by itsx andy-coordinates. ... 20. 30. 40. Frame. RM. S e. rror. (d). Figure 9: Error performance. -
TextonBoost: Joint Appearance, Shape andContext Modeling for…
mi.eng.cam.ac.uk/reports/svr-ftp/shotton_eccv06.pdf15 Feb 2006: The parameters were set as M = 5000, K = 400, θφ = [20, 2]T , and wλ = 4. ... In: CVPR01. (2001) I:511–518. 20. Belongie, S., Malik, J., Puzicha, J.: Shape matching and object recognition usingshape contexts. -
ESTIMATION OF DISPLACEMENTLOCATION FOR ENHANCED STRAIN IMAGING J. E.…
mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr550.pdf30 Mar 2006: We also present strain images for qualitative assessment. 13. 0 5 10 15 20 25 300. ... 20 dB data at0.5% strain as a function of c, the compression factor. -
PHASE-BASED ULTRASONICDEFORMATION ESTIMATION J. E. Lindop, G. M.…
mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr555.pdf25 May 2006: 0 20 40 60 80 100 1200. 0.5. 1. 1.5. 2. ... EPZSEPZS_A1EPZS_A2. 0 10 20 30 40 50 60 70 800. 5.
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