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Two-component Structure in the Entanglement Spectrum of Highly Excited States
Two-component Structure Entanglement Spectrum Highly Excited States
2016/1/22
We study the entanglement spectrum of highly excited eigenstates of two known models that exhibit a many-body localization transition, namely the one-dimensional random-field Heisenberg model and the ...
Researchers develop key component for terahertz wireless（图）
Researchers key component terahertz wireless
2015/9/18
Terahertz radiation could one day provide the backbone for wireless systems that can deliver data up to one hundred times faster than today’s cellular or Wi-Fi networks. But there remain many technica...
In this paper, we study the problem of recovering a low-rank matrix (the principal components) from a highdimensional data matrix despite both small entry-wise noise and gross sparse errors. Recently,...
ENHANCED COMPONENT DETECTION ALGORITHM OF FULL-WAVEFORM LIDAR DATA
Full-waveform LiDAR Component detection Waveform decomposition LM FMM
2014/4/24
When full-waveform LiDAR (FW-LiDAR) data are applied to extract the component feature information of interest targets, there exist a problem of components lost during the waveform decomposition proced...
SURFACE COMPLEXITY COMPONENT OF LIDAR POINT CLOUD ERROR CHARACTERIZATION
Airborne LiDAR DEM Point cloud Surface complexity Accuracy/Error Assessment
2014/4/25
There are several data product characterization methods to describe LiDAR data quality. Typically based on guidelines developed by government or professional societies, these techniques require the st...
Image Quality Assessment Using Spatial Frequency Component
Image Quality Assessment Spatial Frequency Component
2010/12/20
Image quality assessment (IQA) is a crucial technique in perceptual image/video coding, because it is not only a ruler for performance evaluation of coding algorithms but also a metric for ratio-disto...
Modeling Sound Changes in Mandarin Spontaneous Speech Using Deleted In-terpolation of Mixture Component Weights
Sound Changes Deleted Int erpolation Hand-labeled
2013/6/27
The high error rate of recognition accuracy in spontaneous speech is due in part to the poor modeling of pronun-ciations variations. An analysis of the acousticdata reveals that the variati ons includ...
Component-based Cascade Linear Discriminant Analysis for Face Recognition
Component-based Cascade Linear Discriminant Analysis Face Recognition
2010/12/15
This paper presents a novel face recognition method based on cascade Linear Discriminant Analysis (LDA) of the component-based face representation. In the proposed method, a face image is represented ...