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5 Aug 2013: 1. 0. 1. 2. 3. Fig. 3. Training data (500 points) for the ‘zig-zag’ test example,shown as ‘’ and ‘’ for points above and below the decisionboundary (dashed line) respectively. ... To test our systems, we randomly chose 400samples as a

5 Aug 2013: In this setting,robustness to shifts allows sparser sampling of the test features. ... overlapping of test feature samples which can be exploitedfor a modest computational speed-up.

5 Aug 2013: We briefly compareour method against SIFT for a test target in section 5, andconclude in section 6 with a discussion of the results and thenext steps for our research. ... We use the same setup to test the SIFTmethod2, and compare the two methods’

5 Aug 2013: The ca-pacities of a set of test images (each of 256 256 pixels)were measured and the results are summarised in the table 1.We can see that the CWT ... Table 1: Theoretical (a) and empirical (b) capacities in kbitsof the set of 256 256 test images.

5 Oct 2013: the test statistics for the second step.The decoder again selects the columns for which this statisticcrosses the threshold. ... The analysis of the algorithm is challenging due to thedependence between the test statistics used in each step.

15 Aug 2013: In Proc. Applications of heavy tailed distributions in economics, engineering and statistics, June 1999.

17 Dec 2013: 0.4019, 0.4823, 0.5787, 0.6944, 0.8333. Again, compute the mean-squared quantisation error for the two test signals.

5 Aug 2013: We test the algorithm on 3 examples: a simplering, the cameraman image and a 3D microscope dataset; andshow that good results can be obtained. ... In figure 2, we show a deconvolution experiment on thestandard 2D test image Cameraman, which has been

5 Aug 2013: Figure 2 illustrates a test of this by plotting PSNR (=10 log10(255. ... For these tests, we took the upper curve of fig. 3 andat every third point introduced a 2-D circularly symmetriccomplex quantizer into the loop in place of the centre

5 Aug 2013: 10). These can be pictured in terms of the test channel from to. ... Equation (9) describes the sequence of input distributions to. this test channel and (10) specifies the test channel.