| عنوان فارسی مقاله: | ترکیب اطلاعات نظارت شده با PCA از طریق انتخاب مولفه های تشخیصی |
| عنوان انگلیسی مقاله: | Combined supervised information with PCA via discriminative component selection |
کلمات کلیدی :
Scholarly articles for information with PCA via discriminative component Eigenfaces for recognition - Turk - Cited by 15835 Block-wise 2D kernel PCA/LDA for face recognition - Eftekhari - Cited by 34 Face alignment via component-based discriminative … - Liang - Cited by 131 Search Results Combined supervised information with PCA via discriminative ... www.sciencedirect.com/science/article/pii/S0020019015001064 by S Huang - 2015 - Cited by 1 - Related articles Highlights. •. Incorporate supervised information with PCA. •. Use class labels to discriminatively select the principal components. •. Evaluate the discriminative ... Combined supervised information with PCA via discriminative ... dl.acm.org/citation.cfm?id=2824466 by S Huang - 2015 - Cited by 1 - Related articles Nov 1, 2015 - Incorporate supervised information with PCA.Use class labels to discriminatively select the principal components.Evaluate the discriminative ... Combined supervised information with PCA via discriminative ... https://www.researchgate.net/.../279069419_Combined_supervised_information_with_P... Jul 3, 2015 - Official Full-Text Publication: Combined supervised information with PCA via discriminative component selection on ResearchGate, the ... [PDF]Combined supervised information with PCA via discriminative ... iranarze.ir/wp-content/uploads/2016/09/4977-English.pdf Information Processing Letters www.elsevier.com/locate/ipl. Combined supervised information with PCA via discriminative component selection. Sheng Huanga ... Combined supervised information with PCA via discriminative ... - خانه zoodyab.ir/.../19714-combined-supervised-information-with-pca-v... Translate this page Combined supervised information with PCA via discriminative component selection ... Principal Component Analysis (PCA) is a classical multivariate statistical ... Selecting the Top-k Discriminative Features Using Principal ... ieeexplore.ieee.org/document/7836727/ by A Kane - 2016 Selecting the Top-k Discriminative Features Using Principal Component Analysis ... experiments using various benchmark datasets to study the performance of the proposed technique in terms of the discriminant power of ... ISBN Information:. Feature extraction using PCA - Computer vision for dummies www.visiondummy.com/2014/05/feature-extraction-using-pca/ May 16, 2014 - In this article, we discuss how Principal Component Analysis (PCA) works, ... The least discriminative features can be found by various greedy feature ... Removing such a feature would remove more information than needed. Generalized Principal Component Analysis https://books.google.com/books?isbn=0387878114 René Vidal, Yi Ma, S.S. Sastry - 2016 - Science 12 1.3 Clustering via Discriminative or Nonparametric Methods ......... 16 1.4 Noise, Errors, ... 18 Part I Modeling Data with a Single Subspace 2 Principal Component Analysis. ... 2.3.1 Model Selection by Information-Theoretic Criteria ...... 2.3.2 ... [PDF]Eigenboosting: Combining Discriminative and Generative Information https://ai2-s2-pdfs.s3.amazonaws.com/.../53c79c14439d238f1fc6c642e1c12145dfc5.... by H Grabner - Cited by 27 - Related articles Generative models such as principal component analysis. (PCA) [11], independent .... erative information, we can combine discriminative and generative ... Advances in Multimedia Information Processing - PCM 2009: 10th ... https://books.google.com/books?isbn=3642104665 Paisarn Muneesawang, Feng Wu, Itsuo Kumazawa - 2009 - Computers Classical dimensionality reduction methods include principle component analysis (PCA) [12], Fisher's linear discriminant analysis (FLDA) [10] and its tensor ...