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Author : Anonim
Publisher : Unknown
Page : 258 pages
File Size : 51,6 Mb
Release : 1966
Category : Acceleration (Mechanics)
ISBN : UOM:39015012670421
Author : AIAA/NASA Manned Space Flight Meeting
Publisher : Unknown
Page : 420 pages
File Size : 46,7 Mb
Release : 1964
Category : Astronautics
ISBN : UCSD:31822010219764
Author : Anonim
Publisher : Unknown
Page : 532 pages
File Size : 45,9 Mb
Release : 1992
Category : Earthquake hazard analysis
ISBN : UCSD:31822020618716
Author : Avco Corporation. Avco Systems Division,Geoffrey K. Bentley
Publisher : Unknown
Page : 226 pages
File Size : 48,8 Mb
Release : 1977
Category : Motor vehicles
ISBN : UOM:39015075219165
Author : STEPHEN LUTTRELL
Publisher : Stephen Luttrell
Page : 508 pages
File Size : 43,7 Mb
Release : 2023-10-24
Category : Science
ISBN : 8210379456XXX
The motivation for the research that is described in these volumes is the wish to explain things in terms of their underlying causes, rather than merely being satisfied with phenomenological descriptions. When this reductionist approach is applied to information processing it allows the internal structure of information to be analysed, so information processing algorithms can then be derived from first principles. One of the simplest examples of this approach is the diagonalisation of a data covariance matrix – there are many variants of this basic approach, such as singular value decomposition – in which the assumed independent components of high-dimensional data are identified and extracted. The main limitation of this type of information analysis approach is that it is based on linear algebra applied globally to the data space, so it is unable to preserve information about any local data structure in the data space. For instance, if the data lives on a low-dimensional curved manifold embedded in the data space, then only the global properties of this manifold would be preserved by global linear algebra methods. In practice, data whose high-dimensional structure is non-trivial typically lives on a noisy version of a curved manifold, so techniques for analysing such data must automatically handle this type of structure. For instance, a blurred image of a point source is described by its underlying degrees of freedom – i.e. the position of the source – and as the source moves about it generates a curved manifold that lives in the high-dimensional space of pixel values of the sampled image. The basic problem is then to deduce the internal properties of this manifold by analysing examples of such images. A more challenging problem would be to extend this analysis to images that contain several overlapping blurred images of point sources, and so on. There is no limit to the complexity of the types of high-dimensional data that one might want to analyse. These methods then need to be automated so that they do not rely on human intervention, which would then allow them to be inserted as “components” into information processing networks. The purpose of the research that is described in these volumes is to develop principled information processing methods that can be used for such analysis. Self-organising information processing networks arise naturally in this context, in which ways of cutting up the original manifold into simpler pieces emerge automatically.
Author : STEPHEN LUTTRELL
Publisher : Stephen Luttrell
Page : 230 pages
File Size : 44,8 Mb
Release : 2023-10-25
Category : Science
ISBN : 8210379456XXX
The motivation for the research that is described in these volumes is the wish to explain things in terms of their underlying causes, rather than merely being satisfied with phenomenological descriptions. When this reductionist approach is applied to information processing it allows the internal structure of information to be analysed, so information processing algorithms can then be derived from first principles. One of the simplest examples of this approach is the diagonalisation of a data covariance matrix – there are many variants of this basic approach, such as singular value decomposition – in which the assumed independent components of high-dimensional data are identified and extracted. The main limitation of this type of information analysis approach is that it is based on linear algebra applied globally to the data space, so it is unable to preserve information about any local data structure in the data space. For instance, if the data lives on a low-dimensional curved manifold embedded in the data space, then only the global properties of this manifold would be preserved by global linear algebra methods. In practice, data whose high-dimensional structure is non-trivial typically lives on a noisy version of a curved manifold, so techniques for analysing such data must automatically handle this type of structure. For instance, a blurred image of a point source is described by its underlying degrees of freedom – i.e. the position of the source – and as the source moves about it generates a curved manifold that lives in the high-dimensional space of pixel values of the sampled image. The basic problem is then to deduce the internal properties of this manifold by analysing examples of such images. A more challenging problem would be to extend this analysis to images that contain several overlapping blurred images of point sources, and so on. There is no limit to the complexity of the types of high-dimensional data that one might want to analyse. These methods then need to be automated so that they do not rely on human intervention, which would then allow them to be inserted as “components” into information processing networks. The purpose of the research that is described in these volumes is to develop principled information processing methods that can be used for such analysis. Self-organising information processing networks arise naturally in this context, in which ways of cutting up the original manifold into simpler pieces emerge automatically.
Author : F Cucker,R Wong
Publisher : World Scientific
Page : 1740 pages
File Size : 52,6 Mb
Release : 2000-06-30
Category : Mathematics
ISBN : 9789814493062
'0Keywords:Differential Topology;Dynamical Systems;Economic Theory;Theory of Computation;Global Analysis;Stephen Smale“The three-volume collected works of S Smale are a very welcome addition to every mathematician''s book shelf and a must for a mathematics department library.”Mathematical Reviews'
Author : Anonim
Publisher : Unknown
Page : 484 pages
File Size : 44,6 Mb
Release : 1978
Category : Science
ISBN : CORNELL:31924057183778
Author : Anonim
Publisher : Unknown
Page : 1002 pages
File Size : 55,6 Mb
Release : 1985
Category : Aeronautics
ISBN : MINN:31951000607754L
Author : United States. National Bureau of Standards
Publisher : Unknown
Page : 996 pages
File Size : 55,9 Mb
Release : 1934
Category : Chemistry
ISBN : UIUC:30112007624262
Author : Foreign Affairs Research Documentation Center
Publisher : Unknown
Page : 748 pages
File Size : 42,8 Mb
Release : 1970
Category : Economic history
ISBN : UIUC:30112119967252
Author : United States. National Highway Traffic Safety Administration. Office of Administrative Services
Publisher : Unknown
Page : 360 pages
File Size : 44,7 Mb
Release : 1973
Category : Automobiles
ISBN : UOM:39015071608163
Author : Anonim
Publisher : Unknown
Page : 184 pages
File Size : 48,9 Mb
Release : 1986
Category : Large space structures (Astronautics)
ISBN : MINN:30000011047481
Author : United States. Bureau of Commercial Fisheries
Publisher : Unknown
Page : 624 pages
File Size : 46,5 Mb
Release : 1962
Category : Fisheries
ISBN : IND:30000089070514
Author : F. Marc de Piolenc,George E. Wright, Jr.
Publisher : Marc de Piolenc
Page : 180 pages
File Size : 41,5 Mb
Release : 2001-06-01
Category : Airships
ISBN : 9781517645700
Presents a simplified method of designing ducted fans for light aircraft propulsion. Includes a survey of ducted-fan-powered aircraft, ranging from amateur-built airplanes to military models and prototypes. Detailed discussion of engines and list of suitable powerplants drawn from automobiles, ATVs and personal watercraft. Extensive technical bibliography and list of sources.