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In the case of multiple threads, the entire tree is cloned recursively by calling the Likelihood::clone() method, so that multiple measurements for different state hypotheses may be called in parallel. This is decided internally by the Bayesian tracker, which stores the processing tree at construction time. Some modalities require an off-line sampling of visual features from the shape and appearance model. This is the case for ColorHist2D, where sampleModelFeatures collects a reference histogram from a key frame; in particular, we call this function from the likelihood class, which calls the same method recursively for all children: likelihood.sampleModelFeatures(targetVec); For multithreading, the number of particles is divided into partitions. In the present case, threading is out of scope, and we therefore set the number of active partitions to 1 and set the pointer to the only active state to be processed: targetVec[0]->resizeActivePartitions(1); targetVec[0]->setActiveState(0, targetVec[0]->state(0)); Before starting the camera loop, we x the object pose to the center of the image: poseVec[0] = 0; poseVec[1] = 0; poseVec[2] = 0; targetVec[0]->state(0)->setPoseData(poseVec); and update the internal transformation matrices: warp->warpUpdate(*targetVec[0]->state(0)); Now we can compare the incoming images with the reference model, under the given pose, to get the likelihood values. For this purpose, we rst do color conversion: pColHisto->preProcess(srcImage, preProcessROIs); where srcImage is the input image and preProcessROIs is a vector of ROIs, declared as 4-tuples of integers: upper-left corner ( x, y) , width, and height. They de ne the only regions where preprocessing should take place, to save computations, according to the target distribution predicted. If this information is not given, all of the image will be preprocessed. Finally, the likelihood is computed by calling

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5

time period between ti 1 and ti and enables the caplet payoff at time ti to be computed. This payoff is discounted to time 0 using Fj(tj 1) as the discount rate for the interval (tj 1, tj). The estimated caplet value is the average of the discounted payoffs.

Epoxide 115 preapred by Sharpless AE was selectively reduced by Red-Al to give 1,3-diol, and then this diol was converted into the phophorium salt 116 Wittig reaction of aldehyde 117 or 118 with.

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Combiners of this type are also called diplexers since they couple two RF carriers at different frequencies to a single port. This arrangement can be generalized by cascading multiple diplexers to form an nth order multiplexer with n possible input carriers at n different frequencies (Tx1, Tx2... Txn). Very efficient multiplexers, using coupled cavity filters and featuring low in-band losses and very narrow forbidden bands have been developed. They could be used, for example, to couple 12 klystron HPAs operating in the 12 contiguous 40 MHz satellite transponder bandwidths. However, highly sophisticated and costly filter combiners are needed for such an arrangement. The system shown in Figure 7.43 offers the same capability with less complex filter combiners. In this system, even-order and odd-order transmit channels are first coupled separately through a cascade of filter combiners and then coupled to the antenna through a first type (hybrid) combiner (with a 3 dB loss). In this case, filter combiners are simpler, since contiguous passbands with narrow forbidden bands are avoided. It should be noted, however, that all these multiple channel coupling systems using the second type (filter) combiners lack operational flexibility and may be difficult to implement for the various transponder bandwidths employed in the satellite.

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(12.93)

Hypothesis (t ) 12.4 8.3 7.7 6.7 6.4 6.4 4.7 4 3.8 3.6 3.6 3.4 3.4 3.3 3.2 ...

(4.80)

FIGURE 8.7 A COMPARISON OF THE BRITISH AND AMERICAN STOCK MARKETS DURING 1986. THE BRITISH PEAK IN THE SPRING OF 1986 AND ITS UPSIDE BREAKOUT IN DECEMBER OF THE SAME YEAR COINCIDED WITH A MAJOR CONSOLIDATION PERIOD IN AMERICAN EQUITIES. U.S. Stocks (Dow Industrials) 1986

Ft1 ,t2 ,K,t n (x1 , x2 , . . . , xn ) =

Sat/C4-0220

Negative observations 0 1522 0 1606 0 0 0 0 0 1666 0 11182 6877 1606 1606 0 5158 9097 7294 5164 1606 1606 1606 1606 2219 2372 2473 1606

49.52 50.62 51.72 47.6 55.4 3.0

This chapter provided many examples of functions and formulas that count or sum cells meeting certain criteria. Many of these formulas are array formulas. The next chapter covers using formulas to look up specific information in tables or ranges of data.

<wsdl:definitions targetNamespace= http://localhost:8080/axis/SimpleShop.jws > <wsdl:message name= getPriceResponse > <wsdl:part name= getPriceReturn type= xsd:float /> </wsdl:message>

TABLE 8.7 Motors Motor Power (hp) 1.0 2.0 5.5 9.0 Average Consumption of Some Biogas Average Consumption (m3 /h) 0.45 0.92 2.24 3.16

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