'Column j' presentation slideshows

An Introduction To Matrix Decomposition and Graphical Model

An Introduction To Matrix Decomposition and Graphical Model. Lei Zhang/Lead Researcher Microsoft Research Asia 2012-04-17. Outline. Matrix Decomposition PCA, SVD, NMF LDA, ICA, Sparse Coding, etc. Graphical Model Basic concepts in probabilistic machine learning EM pLSA LDA

1.58k views • 131 slides

1.24k views • 96 slides

The geometric GMST problem with grid clustering

The geometric GMST problem with grid clustering. Presented by ??? , ??? , ??? , ??? , ??? Department of Computer Science and Information Engineering, National Taiwan University. Outlines. Geometric GMST with grid clustering Proof of NP-hardness Reduction Optimal structure Optimal cost

558 views • 45 slides

Instructor: Justin Hsia

CS 61C: Great Ideas in Computer Architecture Performance Programming, Technology Trends. Instructor: Justin Hsia. Review of Last Lecture. Multilevel caches reduce miss penalty Standard to have 2-3 cache levels (and split I$/D$) Makes CPI/AMAT calculations more complicated

534 views • 43 slides

Dr. John R. Jensen Department of Geography University of South Carolina Columbia, SC 29208

Initial Statistical Extraction and Image Quality Assessment. Dr. John R. Jensen Department of Geography University of South Carolina Columbia, SC 29208. Jensen, 2003. Image Processing System Considerations.

827 views • 41 slides

Bioinformatics Algorithms and Data Structures

Bioinformatics Algorithms and Data Structures. Chapter 14.1-5: Multiple String Comparisons Lecturer: Dr. Rose Slides by: Dr. Rose March 1, 2007. Multiple String Comparisons. Q: Why are we interesting in multiple string comparisons? A: At one level we are data-mining.

520 views • 39 slides

Graphs and Matrices

Graphs and Matrices. Four Representations of a Graph. G={V,E}. EDGE List AB AD AE BA BC BD CA CB CD DA DB DC EA. MATRIX. NODE List A B D E B A C D C A B D D A B C E A. E. A. B. D. C. Matrix. COLUMNS. ROWS. The MAIN DIAGONAL. A matrix ELEMENT. SQUARE MATRIX.

1.07k views • 35 slides

Lecture 9 Multi-Dimension Arrays

Lecture 9 Multi-Dimension Arrays. Richard Gesick. Topics. Declaring and Instantiating Multidimensional Arrays Aggregate Two-Dimensional Array Operations Other Multidimensional Arrays. Two-Dimensional Arrays. Allow organization of data in rows and columns in a table-like representation.

441 views • 30 slides

Two Dimensional Arrays

Two Dimensional Arrays. Two-dimensional Arrays. A two-dimensional array consists of both rows and columns of elements. It is essentially a matrix. To declare a two-dimensional array, we merely use two sets of square brackets. The first contains the number of rows

473 views • 28 slides

CEG 221 Lesson 4: Algorithm Development I

CEG 221 Lesson 4: Algorithm Development I. Mr. David Lippa. Overview. Algorithm Development I What is an algorithm? Why are algorithms important? Examples of Algorithms Introduction to Algorithm Development Example of Flushing Out an Algorithm Questions. What is an Algorithm?.

375 views • 21 slides

Compressed Sparse Matrix Storage

Compressed Sparse Matrix Storage. value (x in Davis) :. Full storage: 2-dimensional array. (nrows*ncols) memory. row ( i in Davis) :. colstart (p in Davis) :. Sparse storage: Compressed storage by columns (CSC). Three 1-dimensional arrays. (2*nzs + ncols + 1) memory.

471 views • 19 slides

CS 290H Lecture 4 Matrix multiplication, data structures, more on elimination orders

308 views • 15 slides