'Independent component analysis' diaporamas de présentation

The Art of Digital Image processing

The Art of Digital Image processing. C. S. Tong Department of Mathematics Hong Kong Baptist University. Is the left center circle bigger?. No, they're both the same size. It's a spiral, right?. No, these are a bunch of independent circles.

796 views • 69 slides

Review of auto-encoders

Review of auto-encoders. Code. Sparsity constraint. Input decoding. Code energy. Code prediction. Decoding energy. Piotr Mirowski , Microsoft Bing London (Dirk Gorissen ) Computational Intelligence Unconference , 26 July 2014. Input. Outline. Deep learning concepts covered

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Accuracy of PCA for Cancer detection applied to micro array data

Accuracy of PCA for Cancer detection applied to micro array data. by Nasser Abbasi Project supervisor: Dr C.H. Lee Mathematics department, CSUF. Goal of the study.

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Gene Regulation and Microarrays

Gene Regulation and Microarrays. Overview. A. Gene Expression and Regulation B. Measuring Gene Expression: Microarrays C. Finding Regulatory Motifs. A. Regulation of Gene Expression. Cells respond to environment. Various external messages. Heat. Responds to environmental conditions.

656 views • 51 slides

Content Based Image Retrieval

Content Based Image Retrieval. Natalia Vassilieva HP Labs Russia. Tutorial outline. Lecture 1 Introduction Applications Lecture 2 Performance measurement Visual perception Color features Lecture 3 Texture features Shape features Fusion methods Lecture 4 Segmentation

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Finding Unusual Correlation Using Matrix Decompositions

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Independent components analysis of starch deficient pgm mutants

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Subband-based Independent Component Analysis

Subband-based Independent Component Analysis. Y. Qi, P.S. Krishnaprasad, and S.A. Shamma ECE Department University of Maryland, College Park. Subband-based ICA. Classical ICA and Applications Subband-based ICA Experimental Results Conclusions and Future Directions.

432 views • 30 slides

Independent Component Analysis

Independent Component Analysis. An Introduction. Zhen Wei, Li Jin, Yuxue Jin Department of Statistics Stanford University. Outline. Introduction History, Motivation and Problem Formulation Algorithms Stochastic Gradient Algorithm FastICA Ordering Algorithm Applications

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Principal Component Analysis and Independent Component Analysis in Neural Networks

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Independent Components Analysis

Independent Components Analysis. What is ICA?.

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Measure Independence in Kernel Space

Measure Independence in Kernel Space. Presented by: Qiang Lou. References. I made slides based on following papers: F. Bach and M. Jordan. Kernel Independent Component Analysis. Journal of Machine Learning Research, 2002.

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Durham Statistical Techniques Conference Summary II

Durham Statistical Techniques Conference Summary II. Harrison B. Prosper Florida State University Workshop On Advanced Multivariate & Statistical Techniques Fermilab, 1 June 2002. Outline. Talks Probability Density Estimation and Optimizing S/B, Sherry Towers

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A Taste of Data Mining

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Data Mining Feature Selection

Data Mining Feature Selection. Data & Feature Reduction. Data reduction : Obtain a reduced representation of the data set that is much smaller in volume but yet produces the same (or almost the same) analytical results

788 views • 24 slides

M/EEG Data: What are we measuring? Jason Taylor MRC Cognition and Brain Sciences Unit (CBU) Cambridge Centre for Agei

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Introduction

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ICA-based Clustering of Genes from Microarray Expression Data

ICA-based Clustering of Genes from Microarray Expression Data Su-In Lee 1 , Serafim Batzoglou 2 silee@stanford.ed, serafim@cs.stanford.edu 1 Department of Electrical Engineering, 2 Department of Computer Science, Stanford University. Ribosome Biosynthesis.

151 views • 1 slides