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

in ABSTRACT
by Murat S Ensoy, Pınar Yolum
"... 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. .

in GRANITE TEXTURE CLASSIFICATION WITH GABOR FILTERS
by Fernández Álvarez

Table 2.3: State-space Dimensions of Subsystems

in Robust Air-Fuel Ratio Control for Combustion Engines
by Markus Brandstetter, Markus Brandstetter

Table 1. Dimension of search spaces.

in A Tail-Sharing WFST Composition Algorithm For Large Vocabulary Speech Recognition
by Diamantino Caseiro, Isabel Trancoso
"... 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

in unknown title
by unknown authors

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

in Robust and Efficient Video Communication Based on Combined Source- and Channel Coding
by Arild Fuldseth, Tor A. Ramstad
"... 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.

in Improved adhesion in hybrid Si-polymer MEMS via micromechanical interlocking
by M P Larsson, A G Wojcik 2005

Table 1: Dimensions of Spaces of Invariants n

in Lie Invariants of Degree Ten
by Murray Bremner
"... 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.

in Professur für Künstliche Intelligenz DIPLOMARBEIT Large margin Kernel Machines for binary Classification
by Vorgelegt Fakultät, Informatik Technischen, Universität Chemnitz, Von Michael Brückner, Technische Universität Chemnitz, Den Juni, Eidesstattliche Erklärung

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

in On the Performance of Chernoff-distance-based Linear Dimensionality Reduction Techniques
by Mohammed Liakat Ali, Luis Rueda, Myriam Herrera
"... 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.... ..."
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