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into SHBMM, is a uni ed approach for modeling lighting and motion in a video sequence. We now compare our proposed approach against the SHBMM method of [19], which was shown give better results than 3DMM in [20]. We will also compare our results with the published results of SHBMM method [19] in the later part of this section. Recall that we designed three new Experiments D, E, and F by taking random single images from A, B, and C, respectively. In Figure 7.10, we plot the CMC curve with measurement 1 in Eq. (7.24) (which has the best performance for Experiment A, B, and C) for the Experiments D, E, F and compare them with the ones of the Experiment A, B, and C. For this comparison, we randomly chose images from the probe sequences of Experiments A, B, C and computed the recognition performance over multiple such random sets. Thus the Experiments D, E, and F average the imagebased performance over different conditions. By analyzing the plots in Figure 7.10,

e cover basic single-table queries, basic relational queries, inserts, updates, and deletes in this chapter, and we cover much more complicated SQL in 9. Even if you ve been using SQL for quite a long time, we would suggest that you spend a few minutes to carefully read through this chapter, as it contains new ways of describing how SQL works and helps you visualize what happens internally as your SQL statements are processed, all of which can only add to your understanding of how to better write SQL statements. We also assume in 9 that you already understand the visualization concepts discussed here, so please do take the time to read this chapter in its entirety.

What is a relational database Selecting relational result sets Modifying data Using SQL with ColdFusion

7

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Simply put, a relational database is a body of related data stored in tables. Sometimes you learn best by jumping right in and thrashing around a bit. That we re going over queries that join multiple tables before we formally cover basic SELECT statements from a single table may seem a little strange, but this approach gives you a very quick understanding of exactly what a relational database is. For now, just take on faith whatever you don t understand; we cover the details in the section An Overview of Structured Query Language. If you want to follow along with these exercises, do one of the following: Set up the Access database named 5.mdb on your ColdFusion Server and configure a datasource for it named 5. The database is located on the companion CD-ROM, and it is prepopulated with data. See 2 if you need a refresher on creating a datasource for ColdFusion. Create a database named 5 on your Microsoft SQL Server and configure a datasource for it named 5. Run the script 5DDL.sql against the 5 database to create its tables and then run the script 5Data.sql against it to populate those tables with data. The script 5Data.sql can be run repeatedly against the SQL Server database to reset its data back to its original state. After you understand and practice the basics here, your next stop on the database trail is 8. In the meantime, here s the Nickel Tour.

There are six steps to the calculation: 1. Identifying all the variables that affect the stability of the embankment; examples are the geometry, the weight and strength of ll materials, and the relevant properties of the foundation soils. 2. Determining the best estimate (usually the mean value) of each variable, E[Xi ], and using these to calculate the best estimate of the factor of safety, E[F ] by the method of slices. 3. Estimating the uncertainty in each variable and, in particular, its variance, Var[Xi ], based on the uncertainties in soil properties. 4. Performing sensitivity analyses by calculating the partial derivatives of F with respect to each of the uncertain variables or by approximating each derivative by the divided difference F / Xi . 5. Using Equation (14.2) to obtain Var[F ]. 6. Calculating the reliability index from Equation (14.3).

A relational database consists of one or more tables containing data, where the data in one table may relate to data in one or more of the other tables. Tables are related by sharing key values between their rows, and these related tables are joined together in SELECT statements to produce relational result sets. A database containing two tables, Company and Employee, for example, may look something like what is shown in Figure 5-1.

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