Sequential Monte Carlo without Likelihoods
粒子濾波不用似然函數的情況下
本文摘要:Recent new methods in Bayesian simulation have provided ways of evaluating posterior distributions
in the presence of analytically or computationally intractable likelihood functions.
Despite representing a substantial methodological advance, existing methods based on rejection
sampling or Markov chain Monte Carlo can be highly inefficient, and accordingly
require far more iterations than may be practical to implement. Here we propose a sequential
Monte Carlo sampler that convincingly overcomes these inefficiencies. We DEMONSTRATE
its implementation through an epidemiological study of the transmission rate of tuberculosis.
java Labyrinth game；Provides two kinds to produce map s way stochastically: The stochastic distribution point method and the chart depth first traversal the law two kinds.It can searches the shortest way to DEMONSTRATE automatically
Addfilter is a command-line application which adds and removes filter drivers for a given drive or volume. It is intended to DEMONSTRATE how to insert a filter driver into the driver stack of a device. The sample illustrates how to do this by using the SetupDi APIs. The sample works on the x86 platform. It has only been tested in a 32-bit environment. Since Addfilter is not a driver, it does not deal with Plug and Play or Power Management.
No INF file is needed to install this application.
The authors show to identify, design, implement, test, and refactor use-case modules, as well as extend them. They also DEMONSTRATE how to design use-case modules with the Unified Modeling Language (UML)emphasizing enhancements made in UML 2.0and how to achieve use-case modularity using aspect technologies, notably AspectJ.
Key topics include
Making the case for use cases and aspects
Capturing and modeling concerns with use cases
Keeping concerns separate with use-case modules
Modeling use-cases slices and aspects using the newest extensions to the UML notation
Applying use cases and aspects in projects
站長:我所上傳的是FX2開發板的相關程序及驅動,絕對是有市場的,FX2開發板在市上賣到800-500元,有了這些程序,就可以自己設計了,不用發錢買了.
The purpose of this code is to DEMONSTRATE how to utilize EZUSB FX2 PORTC STROBE FEATURE.
This approach addresses two difficulties simultaneously: 1)
the range limitation of mobile robot sensors and 2) the difficulty of detecting buildings in
monocular aerial images. With the suggested method building outlines can be detected
faster than the mobile robot can explore the area by itself, giving the robot an ability to
“see” around corners. At the same time, the approach can compensate for the absence
of elevation data in segmentation of aerial images. Our experiments DEMONSTRATE that
ground-level semantic information (wall estimates) allows to focus the segmentation of
the aerial image to find buildings and produce a ground-level semantic map that covers
a larger area than can be built using the onboard sensors.
We analyze, both analytically and numerically, the effectiveness
of cloaking an infinite cylinder from observations by electromagnetic
waves in three dimensions. We show that, as truncated approximations
of the ideal permittivity and permeability tensors tend towards
the singular ideal cloaking fields, so that the anisotropy ratio tends to
infinity, the D and B fields blow up near the cloaking surface. Since
the metamaterials used to implement cloaking are based on effective
medium theory, the resulting large variation in D and B will pose a
challenge to the suitability of the field averaged characterization of "
and 碌. We also consider cloaking with and without the SHS (softand-
hard surface) lining, shown in [6] to be theoretically necessary
for cloaking in the cylindrical geometry. We DEMONSTRATE numerically
that cloaking is significantly improved by the SHS lining, with both
the far field of the scattered wave significantly reduced and the blow
up of D and B prevented.
In an electromagnetic cloak based on a transformation approach, reduced sets of
material properties are generally favored due to their easier implementation in reality,
although a seemingly inevitable drawback of undesired reflection exists in such cloaks.
Here we suggest using high-order transformations to create smooth moduli at the outer
boundary of the cloak, therefore completely eliminating the detrimental scattering
within the limit of geometric optics. We apply this scheme to a non-magnetic
cylindrical cloak and DEMONSTRATE that the scattered field is reduced substantially in a
cloak with optimal quadratic transformation as compared to its linear counterpart.
The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that DEMONSTRATE the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented.
Java Media APIs: Cross-Platform Imaging, Media, and Visualization presents integrated Java media solutions that DEMONSTRATE the best practices for using this diverse collection. According to Sun MicroSystems, "This set of APIs supports the integration of audio and video clips, animated presentations, 2D fonts, graphics, and images, as well as speech input/output and 3D models." By presenting each API in the context of its appropriate use within an integrated media application, the authors both illustrate the potential of the APIs and offer the architectural guidance necessary to build compelling programs.
