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1 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.

23 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

29 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.

23 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 —

30 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. (%. ).

21 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.

18 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

19 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.

19 Sep 2006: These two steps are interleaved until convergence whichtakes about 20 steps for the sequences we experimentedwith.

14 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.

21 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

1 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),

3 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

21 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.

29 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.

14 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.

21 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.

15 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.

30 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.

25 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.