### Table 2: Summary of PROMPT apos;s generic comparison methods and the corresponding examples presented. The symbol x in the data column means corresponding data values for the same protein, whereas a comma simply states that two sets of values are utilized.

2006

"... In PAGE 13: ... form for routine analyses and comparisons in the field of molecular bioinformatics. The current version of PROMPT includes a large set of generic comparison meth- ods and statistical tests applicable to any nominal and numeric data as shown in Table2 . User-specific exten- sions and custom methods can be seamlessly integrated by providing Java classes that implement the interfaces defined in the PROMPT documentation and by adding additional entries to the application apos;s configuration file.... ..."

### Table 1: A brief description of recombination detection methods implemented in RDP

2004

"... In PAGE 3: ... Sharing major components of its user interface and the RDP recombination detection method with it predecessor, RDP, RDP2 implements a variety of additional non- parametric recombination detection methods (i.e methods that do not make use of population genetic models and make no attempt to estimate the population recombination rate; Table1 ),. Among the new inclusions are many methods including many that have performed well in comparative tests (Drouin et al.... ..."

### Table 4 Psychometric properties and descriptive measures of research variables

### Table 4 Possible Correlation of Abundance and Rotation

"... In PAGE 10: ... The average of those three quantities we denote [ lt; A gt;]. This is given in Table4 for the star with the highest vrot(sin(i)), the two stars with intermediate rotation, and the star with the smallest projected rotation. The hottest M92 blue HB star is ignored.... ..."

### Table 26 Means and Standard Deviations for Specific Extension Applications (n = 402)

1998

"... In PAGE 102: ... The questions were asked in order to measure the computer anxiety levels that personnel may have in handling situations in their daily work. Table26 displays a summary of the means and standard deviations for specific tasks for which Extension personnel use the computer. The results are based on a five-point Semantic differential scale with one being confident or comfortable and five anxious or scared.... ..."

Cited by 2

### Table 1. Sensor Hierarchy and Its Possible Implementations

"... In PAGE 2: ... 2. APPROACH Intelligent vehicles in the Automated Highway System may be equipped with a variety of sensors, each with its own particular characteristics (See Table1 ). The behavior of each of these sensors has been extensively studied 6 ,7,8,9 .... In PAGE 2: ... However, to do this, one must first understand the relationship between the various sensors, as applied to the intelligent vehicle domain. Table1 shows a sensor hierarchy that classifies sensors by function (from an intelligent vehicle apos;s perspective) . While this sensor hierarchy is also generally applicable to mobile robots, specific environments such as underwater or space applications, may demand a different classification.... ..."

### Table 1. Architecture Extension Descriptions

"... In PAGE 6: ... The architecture extensions provide specific support for the accreditation of multiple JSIMS versions and deploy- ments by reusing parts of accreditations. Table1 describes several aspects of the JSIMS varia- tion space. Each dimension of the space is given by a row in the table, with related extensions in the cells of that row.... ..."

### Table 2: Means for each of the five on-line store categories for all 35 variables used in the cluster analysis

1998

"... In PAGE 17: ... Next, we describe each of the five clusters in more detail and give some specific examples from each cluster. Insert Table2 here Super Stores The first cluster contains most of the largest stores in terms of total product number and number of pages. The score for the average store size is 54% higher than that of the second ranked cluster.... In PAGE 24: ... Retailers can compare their own catalogs with those in the survey. Measures for each of the 35 variables shown in Appendix A can be added to a data file containing the means shown in Table2 . Using a statistical package like Systat [41], a matrix of Euclidean distances can be computed and the data can be clustered for comparison.... In PAGE 24: ... Retailers then could compare their catalog to the categories we identified and determine whether it has key features associated with particular categories. Our list of features and attributes in Table2 and Appendix A also serves as a check-list for... ..."

Cited by 15

### Table 1. The employed ECC instruction set extension

2005

"... In PAGE 4: ... For our work we have used three of the instructions described in [7] for the MIPS32 architecture. Table1 lists the instruction names for SPARC and MIPS32 (as given in [7]) with a short description. In this paper we will use the SPARC names.... In PAGE 7: ... When reusing the bitmask in four consecutive doublings, the average instruction count goes down to approximately 6. 4 Practical Results We have used a version of the SPARC V8-compatible LEON-2 processor [5] which includes the instructions described in Table1 developed in course of the... ..."

Cited by 4

### Table 3: The geometries of three views: canonical representation. Mentioned are: the nature of the two equivalent invariant descriptions, the quantities above the horizontal line being the elements of the invariant description for two views, the quantities under that line being the additional parameters, which are measurable from three views but not from two pairs of invariant description for two views, the two alternative expressions for ~ P3, as a function of the description 1-2, 1-3, or of the descriptions 1-2, 2-3.

"... In PAGE 21: ... On the other hand, there are the groups which conserve it: the group of displacements SE3, the group of direct a ne unimodular transformations SA3. Because of the depth-speed ambiguity, the last two ones are not relevant in the context of analysis from two views, and therefore they are mentioned in Table3 but not in Table 2. The projective indetermination of scale in the two-view analysis It should be noted that the invariants e0, H1, S are projective, thus de ned only up to a scale factor, as well as the matrices A and H.... In PAGE 23: ...nd then N views is presented in Sec. 5.3, as a generalization of the canonical decomposition for two views. As previously, the basic insight is simple and natural, and leads automatically to the results which are summarized in Table3 . When recovering the global representation from the local representations, one needs to recover some scale factors from a set of representations which are each de ned only up to a scale factors.... In PAGE 27: ... The work of [23] for instance ts into our formalism in the projective case and illustrates its computational advantages. We have summarized in Table3 the results speci c to the canonical decomposition of a triple of projection matrices:... In PAGE 39: ... Applying the formulas (49), we obtain 1 and qN1. From then, Table3 enables us to compute the invariant description P1, P2, P3, which is a particular triplet of projection matrices (the rst one xed by de nition) yielding the epipolar geometry described by the three initial fundamental matrices. Thus we have started from fundamental matrices, which describe relations between cameras, and we have ended with projection matrices, which describe the cameras themselves.... ..."