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Table 2: New Research Issues in Three Parent Domains of Map Cube

in Map Cube: A Visualization Tool for Spatial Data Warehouses
by S. Shekhar, Chang-Tien Lu, X. Tan, S. Chawla, R. R. Vatsavai 2001
Cited by 9

Table 2 Overview of New Media: New Pleasures Research Methods

in NEW MEDIA: NEW PLEASURES?
by unknown authors

Table 3: Use of Marketing Research by Role of New Products in Sales

in In Thai Food Processing
by Dr Prisana Suwannaporn, Dr. Mark Speece
"... In PAGE 16: ... Only ten percent of companies where new products are a minor part of sales use marketing research intensively. Only about one-quarter of companies for whom new products are a major part of sales do not know much about their markets or have little experience in NPD, compared to over one-third of companies reporting that new products are a minor part of sales ( Table3 ). The companies using marketing research more intensively are better able to set specific, immediate sales targets to measure whether the new product is successful.... ..."

Table 4: Use of Marketing Research by Definition of New Product Success

in In Thai Food Processing
by Dr Prisana Suwannaporn, Dr. Mark Speece

TABLE 1. NEW STOAT RESEARCH PROJECTS INITIATED IN YEAR 3 (2001/2002).

in unknown title
by unknown authors 2001

Table 1: BCH codes of length 511

in Studying the locator polynomials of minimum weight codewords of BCH codes.
by D. Augot, P. Charpin, N. Sendrier
"... In PAGE 9: ... Some other minimum distance are known for length 511. Table1 gives a list of them as well as the way they were found. We try to give as reference the rst author known to us which explicitly gives the code and its true minimum distance.... ..."

Table 5: New methods for uncertainty visualization and areas for further research

in Approaches to Uncertainty Visualization
by Alex T. Pang, Craig M. Wittenbrink, Suresh K. Lodh 1997
"... In PAGE 19: ...8 Summary We have introduced a number of new methods for uncertainty visualization as presented in Table 4. These methods are grouped using the characteristics from Table 1, and presented in Table5 . From here, we can see that there is demand for research in techniques for vector and tensor visualization, and that we have added techniques for discrete and continuous visualization extents.... ..."
Cited by 36

Table 5: New methods for uncertainty visualization and areas for further research

in Approaches to uncertainty visualization
by Alex T. Pang, Craig M. Wittenbrink, Suresh K. Lodha 1997
"... In PAGE 19: ...8 Summary Wehaveintroduced a number of new methods for uncertainty visualization as presented in Table 4. These methods are grouped using the characteristics from Table 1, and presented in Table5 . From here, we can see that there is demand for researchintechniques for vector and tensor visualization, and that wehave added techniques for discrete and continuous visualization extents.... ..."
Cited by 36

Table II: Comparison of the different learning methods to develop a Fuzzy system. The combination of matching pursuits and genetic algorithms is a very promising new research direction.

in New Perspectives for the Integration of Wavelet Theory into Soft Computing
by Marc Thuillard

Table 1: The way in which the concepts of `New apos; and `Old apos; in this research appear to

in 'Computing' as information compression by multiple alignment, unification and search
by J Gerard Wolff 1998
"... In PAGE 13: ...5 `New apos; and `Old apos; and established concepts in computing In case concepts like `New apos; and `Old apos; seem too far removed from computing as normally understood, it may be useful at this stage to indicate the direction in which these proposals are going. To this end, Table1 shows how, in the current proposals, concepts of New and Old may be mapped on to established concepts in computing. 2.... In PAGE 13: ...5.1 Unsupervised inductive learning In keeping with remarks at the beginning of Section 2 about the origins of the MLE principle as a key to understanding unsupervised inductive learning, this kind of learning - shown #0Crst in Table1 - provides the overall framework for these ideas. It is envisaged that compression of any reasonably large body of information will normally be done in an incremental manner, processing one section at a time: #7B In keeping with the use of heuristic techniques to accommodate very large search spaces, incremental processing means that, at any one time, the space of possible alignments can be signi#0Ccantly smaller than if the body of infor- mation is processed all at once.... In PAGE 14: ...5.2 Other aspects of computing It is envisaged that each of the other manifestations of computing which are shown in Table1 , and others, may be understood as one part of the inductive learning process described in the last subsection. Each of these kinds of comput- ing may be seen as being analogous to the processing of one section of New so that, via the formation of MAs, it is compressed in terms of existing patterns in Old using existing codes.... ..."
Cited by 2
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