搜索结果: 1-15 共查到“统计学 maps”相关记录17条 . 查询时间(0.125 秒)
Dressing orbits of harmonic maps
Mapping equation of Riemann surface mapping Riemannian symmetric Spaces soliton theory
2014/12/29
We study the harmonic map equations for maps of a Riemann surface into a Riemannian symmetric space of compact type from the point of view of soliton theory. There is a well-known dressing action of a...
ON A NOTION OF MAPS BETWEEN ORBIFOLDS II: HOMOTOPY AND CW-COMPLEX
Mapping mechanical maps homotopy group classical whitehead theorem
2014/12/25
This is the second of a series of papers which is devoted to a comprehensive theory of maps between orbifolds. In this paper, we develop a basic machinery for studying homotopy classes of such maps. I...
On a notion of maps between orbifolds I. Function spaces
Mapping spatial topology maps banach
2014/12/25
This is the first of a series of papers which is devoted to a comprehensive theory of maps between orbifolds. In this paper, we define the maps in the more general context of orbispaces, and establish...
Conformal maps from a 2-torus to the 4-sphere
Space is immersed generalized modular space immersed ring Riemann surface spectral curve
2014/12/25
We study the space of conformal immersions of a 2-torus into the 4-sphere. The moduli space of generalized Darboux transforms of such an immersed torus has the structure of a Riemann surface, the spec...
On a link between kernel mean maps and Fraunhofer diffraction, with an application to super-resolution beyond the diffraction limit
On a link between kernel mean maps Fraunhofer diffraction an application super-resolution beyond the diffraction limit
2013/4/28
We establish a link between Fourier optics and a recent construction from the machine learning community termed the kernel mean map. Using the Fraunhofer approximation, it identifies the kernel with t...
Using prior information to identify boundaries in disease risk maps
Conditional Autoregressive priors Disease mapping Lo-calised spatial smoothing
2012/9/17
Disease maps display the spatial pattern in disease risk, so that high-risk clusters can be identi ed. The spatial structure in the risk map is typically represented by a set of random e ects, which a...
Riesz measures and Wishart laws associated to quadratic maps
convex cones homogeneous cones Riesz measures Wishart laws
2011/7/19
We introduce a natural definition of Riesz measures and Wishart laws associated to an $\Omega$-positive (virtual) quadratic map, where $\Omega \subset \real^n$ is a regular open convex cone.
Vector Diffusion Maps and the Connection Laplacian
Dimensionality reduction vector elds heat kernel parallel transport local prin-cipal component analysis alignment
2011/3/18
Abstract. We introduce vector di usion maps (VDM), a new mathematical framework for orga-nizing and analyzing massive high dimensional data sets, images and shapes. VDM is a mathematical and algorithm...
Statistical tools to assess the reliability of self-organizing maps
Kohonen self-organizing maps statistical tools quantization organization reliability
2010/4/26
Results of neural network learning are always subject to some variability, due to the sensitivity to initial conditions, to convergence to local minima, and, sometimes more dramatically, to sampling v...
On the use of self-organizing maps to accelerate vector quantization
use self-organizing maps vector quantization
2010/4/26
Self-organizing maps (SOM) are widely used for their topology preservation property: neighboring input vectors are quantified (or classified) either on the same location or on neighbor ones on a prede...
Jensen's inequality for Schwarz maps in von Neumann algebras
Jensen's inequality Schwarz maps von Neumann algebras
2009/9/23
Jensen's inequality for Schwarz maps in von Neumann algebras。
Combining multiple maps of line features to infer true position
GIS linear features lines maps positional error
2009/9/22
Map positional error refers to the dierence between a feature coordinate pair on a map and the corresponding true, unknown coordinate pair. In a geographic information system (GIS), this error is pro...
Model-based Analysis of Concept Maps
concept maps network analysis Bayesian hypothesis testing
2009/9/22
A concept map is a data collection tool developed in psychology and
education to obtain information about mental representations of concept asso-
ciations. This methodology has recently been introdu...
Some unbounded functions of intermittent maps for which the central limit theorem holds
intermittency central limit theorem moment inequalities
2009/6/15
Some unbounded functions of intermittent maps for which the central limit theorem holds.
Interpreting self-organizing maps through space--time data models
Bivariate spatial predictive process space–time models Markov chain Monte Carlo model choice vector autoregressive model
2010/3/17
Self-organizing maps (SOMs) are a technique that has been used
with high-dimensional data vectors to develop an archetypal set of
states (nodes) that span, in some sense, the high-dimensional space....