'Canonical correlation analysis' diaporamas de présentation

Computational BioMedical Informatics

Computational BioMedical Informatics. SCE 5095: Special Topics Course Instructor: Jinbo Bi Computer Science and Engineering Dept. Course Information. Instructor: Dr. Jinbo Bi Office: ITEB 233 Phone: 860-486-1458 Email: jinbo@engr.uconn.edu

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Correlate

A method for the integrative analysis of two genomic data sets. Correlate. Sam Gross, Balasubramanian Narasimhan, Robert Tibshirani, and Daniela Witten. February 19, 2010. Introduction Sparse Canonical Correlation Analysis Correlate : an Excel add-in that implements sparse CCA.

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Empirical-Statistical Downscaling & Record-Statistics

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What is EOF analysis?

What is EOF analysis?. EOF = Empirical Orthogonal Function Method of finding structures (or patterns) that explain maximum variance in (e.g.) 2D (space-time) dataset Mathematically EOFs are eigenvectors of the covariance matrix of a dataset. Math.

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Reza Bosaghzadeh & Nathan Schneider LS2 ~ 1 December 2008

Unsupervised Approaches to Sequence Tagging, Morphology Induction, and Lexical Resource Acquisition. Reza Bosaghzadeh & Nathan Schneider LS2 ~ 1 December 2008. Unsupervised Methods. Sequence Labeling (Part-of-Speech Tagging) Morphology Induction Lexical Resource Acquisition . pronoun.

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Leveraging Category-Level Labels For Instance-Level Image Retrieval

Leveraging Category-Level Labels For Instance-Level Image Retrieval. Outline. Introduction Learning techniques Experiment Conclusion. Outline. Introduction Learning techniques Experiment Conclusion. Introduction. The problem query-by-example instance level

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Preprocessing Techniques for Image Analysis Applications

Preprocessing Techniques for Image Analysis Applications. Hong Zhang. Preprocessing. High dimensionality Limited sample size A simple argument: Rao-Blackwell. Preprocessing. Normalization / transformation Feature extraction / elimination Kernel design. Medical Imaging Applications.

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Linear Methods for Regression (2)

Linear Methods for Regression (2). Yi Zhang, Kevyn Collins-Thompson Advanced Statistical Learning Seminar 11741 fall 2002. What We Have Discussed . Lecture 1 (Kevyn): Unrestricted models Linear Regression: Least-squares estimate Confidence of Parameter Estimates Gauss-Markov Theorem

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Instrumental measurements of beer taste attributes using an electronic tongue

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Detection of Spatial Connectivity via fMRI Data Analysis

Detection of Spatial Connectivity via fMRI Data Analysis. Ramesh M. Singa Computer Integrated Surgery II, 600.446 1 March 2001. Plan. Spatial cognition Deficient areas Complex fMRI data analysis. Relevant Papers.

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Presented by Relja Arandjelovi ?

Iterative Quantization: A Procrustean Approach to Learning Binary Codes. Yunchao Gong and Svetlana Lazebnik (CVPR 2011). Presented by Relja Arandjelovi ?. 21 st September 2011. University of Oxford. Objective. Construct similarity-preserving binary codes for high-dimensional data

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Canonical correlations

Canonical correlations. Purpose Calculation of canonical correlations Relevance to prediction Relevance to correspondence analysis R commands. Purpose.

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Quiz Feb. 18

Quiz Feb. 18. 273A. 1. I. II. Which projection in the figure above belongs to LDA and which one belongs to PCA: A) I=PCA and II=LDA B) I=LDA and II=PCA. 2. Consider Kernel Fisher Discriminant Analysis with the kernel .

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2014 CEAS Research Poster Competition 2014

An artificial intelligent approach to develop temporal and spatial linkage between urban rail transit station demand and land-use patterns. 2014 CEAS Research Poster Competition 2014. Xin Li Ph.D Candidate, Research Assistant. Department of Civil Engineering and mechanics

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