搜索结果: 1-8 共查到“管理学 measurements”相关记录8条 . 查询时间(0.14 秒)
Accounting System and Financial Performance Measurements
Dual Concept Financial Performance Management Accounting
2016/1/27
The paper concerns measuring and reporting of financial performance of an enterprise. Currently increasing emphasis is placed on performance measurement and management. Within performance measurement ...
The Role of Accounting Information in Financial Performance Measurements from External User’s Viewpoint
Czech Accounting Legislation Financial Performance IFRS Income Statement US GAAP
2016/1/27
The paper concerns measuring and reporting of financial performance of an enterprise from external user’s point of view. Basic approach of the paper is the analysis of the Income Statement as amended ...
We consider the problem of estimating a sparse signal from a set of quantized, Gaussian noise corrupted measurements, where each measurement corresponds to an interval of values. We give two methods f...
Recovering Graph-Structured Activations using Adaptive Compressive Measurements
Recovering Graph-Structured Activations Adaptive Compressive Measurements
2013/6/13
We study the localization of a cluster of activated vertices in a graph, from adaptively designed compressive measurements. We propose a hierarchical partitioning of the graph that groups the activate...
Adding a systematic uncertainty to the signal estimation in the on/off-zone measurements
Adding a systematic uncertainty the signal estimation in the on/off-zone measurements
2013/4/28
The measurements with the background estimation from an off-zone are widely used in astrophysics, accelerator physics and other areas. Usually, the expected number of the background events in the off-...
The paper tries to explore the use of multiple-perspectives of performance measures in the context of performance evaluation within the banking sector. It will also examine the impact of some organiza...
Reconstruction from anisotropic random measurements
Reconstruction anisotropic random measurements
2011/7/5
Random matrices are widely used in sparse recovery problems, and the relevant properties of matrices with i.i.d. entries are well understood.
Manifold-Based Signal Recovery and Parameter Estimation from Compressive Measurements
Manifolds dimensionality reduction random projections Compressive Sensing spar-sity signal recovery parameter estimation
2010/3/10
A field known as Compressive Sensing (CS) has recently emerged to help address the growing
challenges of capturing and processing high-dimensional signals and data sets. CS exploits the
surprising f...