搜索结果: 1-15 共查到“pursuit”相关记录69条 . 查询时间(0.046 秒)
Live: Particle pursuit, a journey of the Deep Underground Neutrino Experiment（图）
中微子实验 粒子追逐 欧洲核子研究中心
2023/6/12
On 15 June, join CERN, Fermilab and Sanford Underground Research Facility (SURF) for an interactive livestream that will take you on a journey of the Deep Underground Neutrino Experiment (DUNE). The C...
The messy birth of multilinear maps in the paper “Candidate Multilinear Maps from Ideal Lattices”by Garg, Gentry, and Halevi [GGH13a] appeared to some elements of the cryptographic research community ...
延安大学英语电影赏析课件 he Pursuit of Happyness。
Sparse Solution of Underdetermined Linear Equations by Stagewise Orthogonal Matching Pursuit
compressed sensing decoding error-correcting codes
2015/8/21
Finding the sparsest solution to underdetermined systems of linear equations y = Φx is NP-hard
in general. We show here that for systems with ‘typical’/‘random’ Φ, a good approximation to the
sparse...
MULTI-SPECTRAL IMAGE ANALYSIS BASED ON DYNAMICAL EVOLUTIONARY PROJECTION PURSUIT
multi-spectral image projection pursuit dynamical evolutionary algorithm
2015/8/10
Principal component analysis (PCA) is usually used for compressing information in multivariate data sets by computing orthogonal projections that maximize the amount of data variance. PCA is effective...
FEATURE EXTRACTION OF HYPERSPECTRAL IMAGES USING MATCHING PURSUIT
Hyper-Spectral Sensing Wavelet Transform Matching Pursuit Feature Extraction Classification
2015/7/30
Hyperspectral images contain rich and fine spectral information, an improvement of land use/cover classification accuracy is
expected from the use of such images. However, the classification methods...
An Analysis of Motivation Factors for Students’Pursuit of Leadership Positions
leadership students organizations
2018/7/24
Objective. To identify factors that influence student involvement and leadership within organizations and to assess the impact of involvement in organizations on professional skill development.
Metho...
Recommendations for the Successful Pursuit of Scholarship by Pharmacy Practice Faculty Members
scholarship clinical faculty faculty models
2018/7/24
Scholarship has long been a basic expectation of faculty members at institutions of higher learning in the United States and elsewhere. This expectation is no less assumed in academic pharmacy. A numb...
ASYMPTOTICS OF GRAPHICAL PROJECTION PURSUIT
Mathematical tools high-dimensional data planning and design
2015/7/14
Mathematical tools are developed for describing low-dimensional projec-
tions of high-dimensional data. Theorems are given to show that under
suitable conditions, most projections are approximatel...
Projection Pursuit for Discrete Data。
The time-frequency and time-scale communities have recently developed a large number of
overcomplete waveform dictionaries—stationary wavelets, wavelet packets, cosine packets,
chirplets, and warple...
In Pursuit of Grid Convergence for Two-Dimensional Euler Solutions
Grid Convergence Two-Dimensional Euler Solutions
2015/7/3
Grid-convergence trends of two-dimensional Euler solutions are investigated. The airfoil geometry under study is based on the NACA0012 equation. However, unlike the NACA0012 airfoil, which has a blunt...
Detecting Highly Oscillatory Signals by Chirplet Path Pursuit
Signal Detection Nonparametric Testing Likelihood Ratios Adaptivity Chirps Chirplets Time-Frequency Analysis Gravitational Waves Graphs Shortest Path in a Graph Dynamic Programming
2015/6/17
This paper considers the problem of detecting nonstationary phenomena, and chirps in particular, from very noisy data. Chirps are waveforms of the very general form A(t) exp(iλ ϕ(t)), where λ is ...
Dense Error Correction for Low-Rank Matrices via Principal Component Pursuit
Dense Error Correction Low-Rank Matrices Principal Component Pursuit
2015/6/17
We consider the problem of recovering a lowrank matrix when some of its entries, whose locations are not known a priori, are corrupted by errors of arbitrarily large magnitude. It has recently been sh...
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,...