'Binary vector' presentation slideshows

Special topics on text mining [ Part I: text classification ]

974 views • 77 slides

Segmentation

766 views • 76 slides

Lecture 2

Lecture 2.

926 views • 73 slides

Recognizing Human Actions by Attributes

Recognizing Human Actions by Attributes. CVPR2011 Jingen Liu, Benjamin Kuipers , Silvio Savarese Dept. of Electrical Engineering and Computer Science University of Michigan. Outline. Introduction Our Contributions Attribute-Based Action Representation Learning Data-Driven Attributes

584 views • 41 slides

Lecture 12

Lecture 12. Latches Section 5.1-5.3, 9.1-9.2. Block Diagram of Sequential Circuit. g ates. New output is dependent on the inputs and the preceding values of outputs. Characteristic: the output node is intentionally connected back to inputs. Sequential Circuits.

467 views • 39 slides

Machine Learning

Machine Learning. Lecture 1 Introduction. Motivating Problems. Handwritten Character Recognition. Motivating Problems. Fingerprint Recognition (e.g., border control) . Motivating Problems. Face Recognition (security access to buildings etc). Can Machines Learn to Solve These Problems?.

515 views • 30 slides

Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process

Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process. Chong Wang and David M. Blei NIPS 2009. Discussion led by Chunping Wang ECE, Duke University March 26, 2010. Outline. Motivations LDA and HDP-LDA Sparse Topic Models

459 views • 24 slides

Multiple Kernel Learning

494 views • 24 slides

Mixing TIMES and QuEUE LENGTH BOUNDS FOR GLAUBER DYNAMICS-BASED CSMA Scheduling

Mixing TIMES and QuEUE LENGTH BOUNDS FOR GLAUBER DYNAMICS-BASED CSMA Scheduling. R. Srikant University of Illinois at Urbana-Champaign Joint work with Libin Jiang, Mathieu Leconte , Jian Ni and Jean Walrand (Berkeley). Introduction.

358 views • 21 slides

Using Fast Weights to Improve Persistent Contrastive Divergence

Using Fast Weights to Improve Persistent Contrastive Divergence. Tijmen Tieleman Geoffrey Hinton Department of Computer Science, University of Toronto. ICML 2009. presented by Jorge Silva Department of Electrical and Computer Engineering, Duke University.

315 views • 17 slides

Computer Organization

Computer Organization. Integers and Arithmetic Operations Terrence Mak. Counting to 9, oh no, 1 please. Binary numbers (0, 1) are commonly used in computers as they are easily represented as on/off electrical signals Other related radix systems are Octal & Hexadecimal

309 views • 16 slides

The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling

The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling. Sinead Williamson, Chong Wang, Katherine A. Heller, David M. Blei Presented by Eric Wang 9/16/2011. Introduction. Latent Dirichlet Allocation (LDA) is a powerful and ubiquitous topic modeling framework.

354 views • 15 slides

Unconditionally S ecure First-Price Auction Protocols Using a Multicomponent Commitment Scheme

Unconditionally S ecure First-Price Auction Protocols Using a Multicomponent Commitment Scheme. Contents. Introduction and Preliminaries Multicomponent Commitment Scheme Secure First-Price Auction Protocols Verifiable Protocol with Non-Repudiation (VNR)

256 views • 14 slides

Sergey Yekhanin Institute for Advanced Study

Lower Bounds on Noise. Sergey Yekhanin Institute for Advanced Study. Setting. Database of information about individuals E.g. Medical history, Census data, Customer info. Need to guarantee confidentiality of individual entries

247 views • 14 slides

Plant Expression System

Plant Expression System. M olecular B iology Lab oratory Oh Chang Jae. Overview of methods for plant transformation. A. Delivery of DNA into a single plant cell ? transient assay B. Integration of DNA into the plant cell genome

933 views • 12 slides

Bacterial chromosome

VirA. VirA. VirA. VirA. Wounded sites. Bacterial chromosome. chvA chvB chvF. VirG. VirG. Ti-plasmid. VirD2. VirE. VirE. virB, virC, virD, virE1, virE2, virF, virH. Vir region. VirE. VirE. VirE. LB. RB. VirE. RB. VirD1. LB. Binary vector. VirE. VirE. VirE. VirE. VirD2.

139 views • 1 slides