'Squared distances' presentation slideshows

An introduction to Generalized K-means with image processing applications

947 views • 82 slides

MAD-Bayes: MAP-based Asymptotic Derivations from Bayes

MAD-Bayes: MAP-based Asymptotic Derivations from Bayes. Michael I. Jordan INRIA University of California, Berkeley. May 11, 2013. Acknowledgments : Brian Kulis , Tamara Broderick. Statistical Inference and Big Data.

839 views • 66 slides

HLTH 653 Lecture 2

HLTH 653 Lecture 2. Raul Cruz-Cano Spring 2013. Statistical analysis procedures. Proc univariate Proc t test Proc corr Proc reg. Proc Univariate. The UNIVARIATE procedure provides data summarization on the distribution of numeric variables. PROC UNIVARIATE < option(s) >;

1.05k views • 48 slides

CSE 554 Lecture 6: Fairing and Simplification

CSE 554 Lecture 6: Fairing and Simplification. Fall 2012. Review. Iso-contours in grayscale images and volumes Piece-wise linear representations Polylines (2D) and meshes (3D) Primal and dual methods Marching Squares (2D) and Cubes (3D) Dual Contouring (2D,3D)

596 views • 46 slides

Final Class: Range Data registration

Final Class: Range Data registration. CISC4/689 Credits: Tel-Aviv University. The Problem. Align two partially- overlapping meshes given initial guess for relative transform. Data Types . Point sets Line segment sets (polylines) Implicit curves : f(x,y,z) = 0

511 views • 43 slides

Local Search and Continuous Search

Local Search and Continuous Search. Local search algorithms. In many optimization problems, the path to the goal is irrelevant; the goal state itself is the solution In such cases, we can use local search algorithms keep a (sometimes) single "current" state, try to improve it.

3.56k views • 41 slides

Clustering

Clustering. Idea and Applications. Clustering is the process of grouping a set of physical or abstract objects into classes of similar objects. It is also called unsupervised learning. It is a common and important task that finds many applications. Applications in Search engines:

742 views • 39 slides

Feature Detection

Feature Detection. Giacomo Boracchi 6/12/2007 boracchi@elet.polimi.it. Feature matching vs. tracking. Image-to-image correspondences are determined by some salient point. These are also the basis of passive triangulation-based 3D reconstruction

607 views • 38 slides

T racing the Contours of Turkish Ideological Space, 2001-2004

397 views • 33 slides

Moving Least Squares Multiresolution Surface Approximation

Moving Least Squares Multiresolution Surface Approximation. Boris Mederos Luiz Velho Luiz Henrique De Figueirdo. Overview. About Authors Introduction Related Works This work Results Conclusion. About Authors. Boris Mederos PhD of Instituto Nacional de Matematica Pura e Aplicada,

314 views • 29 slides

Descriptive Statistics for Spatial Distributions

Descriptive Statistics for Spatial Distributions. Chapter 3 of the textbook Pages 76-115. Descriptive Statistics for Point Data. Also called geostatistics Used to describe point data including: The center of the points The dispersion of the points.

680 views • 28 slides

Statistical analysis of array data: Dimensionality reduction, Clustering

Statistical analysis of array data: Dimensionality reduction, Clustering. Katja Astikainen, Riikka Kaven 25.2.2005. Contents. Problems and approaches Dimensionality reduction by PCA Clustering overview Hierarchical clustering K-means Mixture models and EM. Problems and approaches.

385 views • 28 slides

3D industrial r econstruction by fitting CSG models to a combination of images and point clouds

3D industrial r econstruction by fitting CSG models to a combination of images and point clouds. Tahir Rabbani Frank van den Heuvel. Overview. Introduction The approach to modelling Model fitting: point clouds and images Fitting experiments: cylinder and box Conclusions. Introduction.

373 views • 24 slides

Measures of Central Tendency

405 views • 17 slides