982 resultados para Massachusetts Infantry. 2d Regt
Resumo:
A series of motion compensation algorithms is run on the challenge data including methods that optimize only a linear transformation, or a non-linear transformation, or both – first a linear and then a non-linear transformation. Methods that optimize a linear transformation run an initial segmentation of the area of interest around the left myocardium by means of an independent component analysis (ICA) (ICA-*). Methods that optimize non-linear transformations may run directly on the full images, or after linear registration. Non-linear motion compensation approaches applied include one method that only registers pairs of images in temporal succession (SERIAL), one method that registers all image to one common reference (AllToOne), one method that was designed to exploit quasi-periodicity in free breathing acquired image data and was adapted to also be usable to image data acquired with initial breath-hold (QUASI-P), a method that uses ICA to identify the motion and eliminate it (ICA-SP), and a method that relies on the estimation of a pseudo ground truth (PG) to guide the motion compensation.
Resumo:
This dataset consists of 2D footprints of the buildings in the metropolitan Boston area, based on tiles in the orthoimage index (orthophoto quad ID: 229890, 229894, 229898, 229902, 233886, 233890, 233894, 233898, 233902, 237890, 237894, 237898, 237902, 241890, 241894, 241898, 241902, 245898, 245902). This data set was collected using 3Di's Digital Airborne Topographic Imaging System II (DATIS II). Roof height and footprint elevation attributes (derived from 1-meter resolution LIDAR (LIght Detection And Ranging) data) are included as part of each building feature. This data can be combined with other datasets to create 3D representations of buildings and the surrounding environment.
Resumo:
"These records were copied from the original by Miss Martha O. Howes. The copy was verified by Sidney Perley, esq., who also made the index."--Verso of t-p., v. 2
Resumo:
Vol. 21-40 called 2nd series v. 1-20; v. 41-42 called 3rd series v. 1-2.
Resumo:
3d catalog of the library (1st issued 1796; 2d, 1811) Prepared by the assistant librarian, John Appleton, M. D., under the supervision and direction of the standing committee (select committee: Chandler Robbins, Charles Deane) Comprises titles of 81,621 vols., excluding the Dowse library of 5,000 vols., which is separately cataloged.
Resumo:
For roster see New Hampshire. Adjutant-General. Complete roster of the 8th Regt. (189-?)
Resumo:
Mode of access: Internet.
Resumo:
Each volume has special t.-p.: v. 1. Scott's militia tactics; comprising the duty of infantry, light-infantry, and riflemen ... 2d ed., rev. and enl. Hartford, 1821; v. 2 [pt. 1] The artillerist; comprising the drill without arms, and exercises and movements of the light and horse artillery. Together with a sword exercise for the light artillery ... 2d ed.--improved and enl. Hartford, 1821; v. 2 [pt. 2] Cavalry tactics; comprising the modern mode of discipline and sword exercise, for the cavalry generally ... Hartford, 1822.
Resumo:
Mode of access: Internet.
Resumo:
Hybrid face recognition, using image (2D) and structural (3D) information, has explored the fusion of Nearest Neighbour classifiers. This paper examines the effectiveness of feature modelling for each individual modality, 2D and 3D. Furthermore, it is demonstrated that the fusion of feature modelling techniques for the 2D and 3D modalities yields performance improvements over the individual classifiers. By fusing the feature modelling classifiers for each modality with equal weights the average Equal Error Rate improves from 12.60% for the 2D classifier and 12.10% for the 3D classifier to 7.38% for the Hybrid 2D+3D clasiffier.
Resumo:
For certain continuum problems, it is desirable and beneficial to combine two different methods together in order to exploit their advantages while evading their disadvantages. In this paper, a bridging transition algorithm is developed for the combination of the meshfree method (MM) with the finite element method (FEM). In this coupled method, the meshfree method is used in the sub-domain where the MM is required to obtain high accuracy, and the finite element method is employed in other sub-domains where FEM is required to improve the computational efficiency. The MM domain and the FEM domain are connected by a transition (bridging) region. A modified variational formulation and the Lagrange multiplier method are used to ensure the compatibility of displacements and their gradients. To improve the computational efficiency and reduce the meshing cost in the transition region, regularly distributed transition particles, which are independent of either the meshfree nodes or the FE nodes, can be inserted into the transition region. The newly developed coupled method is applied to the stress analysis of 2D solids and structures in order to investigate its’ performance and study parameters. Numerical results show that the present coupled method is convergent, accurate and stable. The coupled method has a promising potential for practical applications, because it can take advantages of both the meshfree method and FEM when overcome their shortcomings.