'Euclidean distance' diaporamas de présentation

BCS547 Neural Decoding

BCS547 Neural Decoding. Population Code. 100. 100. s?. 80. 80. 60. 60. Activity. Activity. 40. 40. 20. 20. 0. 0. -100. 0. 100. -100. 0. 100. Direction (deg). Preferred Direction (deg). Tuning Curves. Pattern of activity (r).

747 views • 58 slides

Clustering Algorithms

Clustering Algorithms . Padhraic Smyth Department of Computer Science CS 175, Fall 2007. Timeline. Today Discussion of project presentations and final report Overview of clustering algorithms and how they can be used with image data Tuesday December 4 th No lecture (out of town)

1.05k views • 57 slides

Theory of LSH

1.21k views • 49 slides

Pattern Recognition

Pattern Recognition. Speaker: Wen-Fu Wang Advisor: Jian-Jiun Ding E-mail: r96942061@ntu.edu.tw Graduate Institute of Communication Engineering National Taiwan University, Taipei, Taiwan, ROC. Outline. Introduction Minimum Distance Classifier Matching by Correlation

642 views • 45 slides

SMILES 2

733 views • 38 slides

Computer Graphics and Image Processing (CIS-601)

Computer Graphics and Image Processing (CIS-601). Image Segmentation by Clustering (Using Mahalanobis Distance). - Manjit Chintapalli. What is Image Segmentation ?. To humans, an image is not just a random collection of pixels; it is a meaningful arrangement of regions and objects.

664 views • 37 slides

Chapter 4

Chapter 4. Basic Data Mining Technique. Content. What is classification? What is prediction? Supervised and Unsupervised Learning Decision trees Association rule K-nearest neighbor classifier Case-based reasoning Genetic algorithm Rough set approach Fuzzy set approaches.

634 views • 35 slides

Clustering Preliminaries

Clustering Preliminaries. Applications Euclidean/Non-Euclidean Spaces Distance Measures. The Problem of Clustering.

580 views • 34 slides

Outline

Outline. Transmitters (Chapters 3 and 4, Source Coding and Modulation) (week 1 and 2) Receivers (Chapter 5) (week 3 and 4) Received Signal Synchronization (Chapter 6) (week 5) Channel Capacity (Chapter 7) (week 6) Error Correction Codes (Chapter 8) (week 7 and 8)

593 views • 32 slides

A Fast Algorithm for Incremental Distance Calculation Ming C. Lin & John Canny University of California, Berkeley

587 views • 31 slides

Outline

Outline. Transmitters (Chapters 3 and 4, Source Coding and Modulation) (week 1 and 2) Receivers (Chapter 5) (week 3 and 4) Received Signal Synchronization (Chapter 6) (week 5) Channel Capacity (Chapter 7) (week 6) Error Correction Codes (Chapter 8) (week 10 and 11)

509 views • 31 slides

Face Recognition

Face Recognition. A Literature Review By Xiaozhen Niu Department of Computing Science. Contents. Face Segmentation/Detection Facial Feature extraction Face Recognition Video-based Face Recognition Comparison Summary Reference. Face Segmentation/Detection.

868 views • 27 slides

Dimensional reduction, PCA

Dimensional reduction, PCA. Curse of dimensionality. The higher the dimension, the more data is needed to draw any conclusion Probability density estimation: Continuous: histograms Discrete: k-factorial designs Decision rules: Nearest-neighbor and K-nearest neighbor.

536 views • 26 slides

GRAPH SPANNERS

426 views • 23 slides

Creation of topographical maps and modeling of brain plasticity.

Creation of topographical maps and modeling of brain plasticity. W?odzis?aw Duch Department of Computer Methods Nicholas Copernicus University Toru?, Poland Google: W. Duch. Plan. Intro: topographical maps everywhere Somatosensory maps Theoretical models

353 views • 21 slides

Creation of topographical maps and modeling of brain plasticity.

Creation of topographical maps and modeling of brain plasticity. W?odzis?aw Duch Department of Computer Methods Nicholas Copernicus University Toru?, Poland Google: W. Duch. Plan. Intro: topographical maps everywhere Somatosensory maps Theoretical models

440 views • 21 slides

Principal Components Analysis

Principal Components Analysis . Vida Movahedi December 2006. Outline. What is PCA? PCA for images Eigenfaces Recognition Training Set Test Set Summary. Principal Component Analysis. Eigen Vectors show the direction of axes of a fitted ellipsoid

563 views • 18 slides

Stylometry Project

648 views • 16 slides

Error Analysis of a Numerical Calculation about One-Qubit Quantum Channel Capacity

Error Analysis of a Numerical Calculation about One-Qubit Quantum Channel Capacity . Kimikazu Kato 1,2 , Hiroshi Imai 1,3 , and Keiko Imai 4 1 Department of Computer Science, University of Tokyo 2 Nihon Unisys, Ltd. 3 ERATO-SORST Quantum Computation and Information

589 views • 13 slides

621 views • 11 slides