### Table 1: Dimensions of service space and their ranges Dimension Name Type Range

in ABSTRACT

"... In PAGE 6: ... Each property of Service class represents a dimension in a multidimensional service space. Dimensions of service space used in the simulations are tabulated in Table1 . Each service provider has a multi-dimensional region called service re- gion in this service space.... ..."

### Table 10: Percentage of success as a function of feature space dimension. .

### Table 2.3: State-space Dimensions of Subsystems

### Table 1. Dimension of search spaces.

"... In PAGE 3: ... We used the min- imized lexicon and language model WFSTs. Table1 shows the dimension of the search spaces. We observe that the network ob- tained with tail-sharing algorithm has only 5% more states and 3% more edges than the minimum, and we also observe a huge reduc- tion on the size of the network relative to the previous version.... ..."

### Table 1. Growth of unnecessarily searched space that is considered for searches under different dimensions and different norms. Search Space Unnecessary Search Space Dimension

### Table 1. Source vector dimension (L), codebook size (N), and channel space dimension (K) for each class.

"... In PAGE 2: ... The VQ output indices are mapped directly to the amplitude levels of the multidimensional PAM channel symbols by the index maps. For the proposed system, the choices of source vector dimension (L), codebook size (N), and channel space dimension (K) for each of the three classes are listed in Table1 . Note that a K-dimensional PAM symbol can be composed of K consecutive one-dimensional symbols in time (or equivalently, K=2 consecutive QAM symbols).... ..."

### Table 1. RIE mask feature dimensions and spacings.

2005

### Table 1: Dimensions of Spaces of Invariants n

"... In PAGE 2: ...4 and executed on a Sun Ultra 1 Sparcstation. Table1 at the end of this paper gives, for 1 n 40, the numbers dim Ln (computed using (3) with d = 2), dim Kn (computed using (2)), and dim Jn (computed using (4) and (5)). In particular, we see that the only primitive invariants of degree lt; 10 are those given... ..."

### Table 2.1 Overview of commonly used kernel functions and the dimension of the according feature space F with respect to the input space dimension n.

### Table 3. Chernoff distance in the transformed space, whose dimension is d = 1.

"... In PAGE 7: ...ig.2. Error rates, n = 10, linear classifier. lying distributions are normal), we depict, in Table3 , the Cherfnoff distance for FDA, LD and RH, for the reduced space of dimension d = 1. As expected, for LD and RH, the Chernoff distance is much higher than for FDA.... ..."