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From a pattern classification point of view, a group of quantitative features are then extracted by making full use of the inherent property of UWB propagations.
In this section, we suggest a low-complexity noncoherent detection algorithm from an appealing pattern classification point of view.
With one lap of the eight circuits to go in Bari, it was decided that the stage would be neutralised from a general classification point of view, allowing those challenging for the title to take it easy while the sprinters battled it out for the line.
Additionally, the ROC curves could be used to identify the optimal percentage change in factor score at day 4/week 1 that best predicts response at week 3, by locating the point on the curve nearest to the perfect classification point of 100% (0 on the x-axis of specificity [false positive rate] and 1 on the y-axis of sensitivity [true positive rate]).
(3) In USCS receiver, remarkably different from the power-consumed coherence receivers (e.g. Rake receiver or T-R structure), from a pattern classification point of view we developed a low-complexity noncoherent receiver architecture based on the fuzzy c-means clustering algorithm (FCM) [19].
Table 2 presents the overview of databases from classification point of view.
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Firstly, here's the stage results, general classification, points, mountain and young rider standings after stage 17.
Cadel Evans (Australia/BMC Racing) +42sec Stage results, general classification, points, mountain and young rider standings after stage six, and more.
Ryder Hesjedal (Canada/Garmin) Stage results, general classification, points, mountain and young rider standings after stage seven, and more 4.40pm BST The riders make their way along the early stages of stage seven.
Photograph: JEFF PACHOUD/AFP/Getty Images 3.03pm BST Points for the Col de l'Epine... 1. Rolland (EUC) 10pts 2. Nieve (EUS) 8pts - at 2'00" 3. Bakelants (RTL) 6pts 4. Coppel (COF) 4pts 5. T. Dumoulin (ARG) 2pts 6. Navarro (COF) 1pt 3.02pm BST Rolland crests Col de l'Epine... Bagging a few more mountain classification points as he does so.
Regarding the scenario 3, the results obtained with methods 4 and 8 outperformed those using the algorithm in [5] (up to 10 classification points).
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