'Binary case' presentation slideshows

Programmable Logic Circuits: Computer Arithmetic: Introduction

ELECT 90X. Programmable Logic Circuits: Computer Arithmetic: Introduction. Dr. Eng. Amr T. Abdel-Hamid. Slides based on slides prepared by: B. Parhami, Computer Arithmetic: Algorithms and Hardware Design, Oxford University Press, 2000.

877 views • 75 slides

Multi-Valued Logic

1.14k views • 53 slides

Analysis of Categorical and Ordinal Data: Binomial and Logistic Regression

Likelihood Methods in Ecology April 25 - 29, 2011 Granada, Spain. Lecture 7. Analysis of Categorical and Ordinal Data: Binomial and Logistic Regression. Example: analysis of windthrow data.

1.1k views • 34 slides

Seminar, Bordeaux School of Public Health 8 June 2011 Combining endpoints in clinical trials to increase power John Whit

Medical and Pharmaceutical Statistics Research Unit. Seminar, Bordeaux School of Public Health 8 June 2011 Combining endpoints in clinical trials to increase power John Whitehead. Medical and Pharmaceutical Statistics Research Unit Department of Mathematics and Statistics

429 views • 32 slides

Trees 2: Section 4.2 and 4.3

Trees 2: Section 4.2 and 4.3. Binary trees. root. 1. 2. 3. 4. 5. 6. 7. Binary Trees. Definition: A binary tree is a rooted tree in which no vertex has more than two children. Example: Expression Tree. How do you construct an expression tree from a postfix expression?

353 views • 26 slides

Gray-Scale Morphological Filtering

Gray-Scale Morphological Filtering. Generalization from binary to gray level Use f(x,y) and b(x,y) to denote an image and a structuring element Gray-scale dilation of f by b (f ?b)(s,t)=max{f(s-x,t-y)+b(x,y)|(s-x), (t-y) ?D f and (x,y)?D b }

997 views • 19 slides

Physical Layer Continued

200 views • 19 slides

Physical Layer Continued

674 views • 16 slides

VLE Calculations

531 views • 15 slides

Data and its Distribution

Data and its Distribution. The popular table. Table (relation) propositional, attribute-value Example record, row, instance, case Table represents a sample from a larger population independent, identically distributed Attribute variable, column, feature, item Target attribute, class

175 views • 15 slides

Asymptotic fingerprinting capacity in the Combined Digit Model

245 views • 14 slides

A Theoretical Analysis of Feature Pooling in Visual Recognition

A Theoretical Analysis of Feature Pooling in Visual Recognition. Y-Lan Boureau, Jean Ponce and Yann LeCun ICML 2010. Presented by Bo Chen. Outline. 1. Max-pooling and average pooling 2. Successful stories about max-pooling 3. Pooling binary features 4. Pooling continuous sparse codes

271 views • 13 slides

Iterative Integer Division Techniques

204 views • 10 slides