This paper considers spectrum analysis of transient signal of short data sets. The classical Fast Fourier Transform (FFT) technique requires large time domain data to achieve high frequency resolution, however time resolution is reduced. Therefore,
SMMC 解决流形聚类问题 好用 function [cluster_labels,ppca_label,mse,time_mppca,time_smmc,time_sc,W] = smmc(X,nClusts,ppca_dim,ncentres,knn,power) %%%% spectral multi-manifold clustering (smmc) algorithm %%%% Input % X D by N data matrix D*N的矩阵 % nClusts number
迭代解稀疏线性方程组，有很多种方法。很全面 Iterative Methods for Sparse Linear Systems Preface to the Second Edition; Preface to the First Edition; Chapter 1: Background in Linear Algebra; Chapter 2: Discretization of Partial Differential Equations; Chapter 3: Sparse Ma
As an important method of data analysis, machine learning technology has been widely used in academic and industrial circles. In particular, the development of cloud computing, logistics networks, big data, and quantum information has played an unpr
人脸识别方面的国外论文20来篇，方便需要的人参考 An Algorithm of Face Recognition Based on the Variation of 2DPCA.pdf A Linear Subspace Learning Approach via Sparse Coding.pdf A Misuse Intrusion Detection Model Based on Hybrid Classifier.pdf A Novel Genetic Ant Colony Algo
Hybrid Artificial Intelligent Systems: 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings (Lecture Notes in Computer Science) This volume constitutes the refereed proceedings of the 13th International Conference o
Cancellable biometrics has been a challenging and essential approach to protect the privacy of biometric templates. Multiple Random Projections (MRP) is our formerly presented two-factor cancellable formulation. In that method, the biometric data is
a method based on sparse representation (SR) to cluster data drawn from multiple low-dimensional linear or affine subspaces embedded in a high-dimensional space.
Sparse Subspace Clustering基于人脸分割的子空间聚类的原始代码，已验证没有错误，大家可以放下下载。 (Sparse Subspace Clustering segmentation based on face subspace clustering source code, no errors have been verified, you can put down the download.)
基于对抗的跨媒体检索Cross-modal retrieval aims to enable flexible retrieval experience across different modalities (e.g., texts vs. images). The core of crossmodal retrieval research is to learn a common subspace where the items of different modalities can be
