'Weight matrix' presentation slideshows

Detecting abnormal events

Detecting abnormal events. Jaechul Kim. Abnormal events. Easy to verify, but hard to describe Generally regarded as rare events or unseen events. Overview: Taxonomy of approaches. What representations are used to describe individual event? Tracked trajectory based representation

1.03k views • 70 slides

Biologically Inspired Intelligent Systems

744 views • 58 slides

Activations, attractors, and associators

Activations, attractors, and associators. Jaap Murre Universiteit van Amsterdam jaap@murre.com. Overview. Interactive activation model Hopfield networks Constraint satisfaction Attractors Traveling salesman problem Hebb rule and Hopfield networks Bidirectional associative networks

586 views • 43 slides

Activations, attractors, and associators

528 views • 40 slides

TESS-II

TESS-II. Describing and Finding Gene Regulatory Sequences with Grammars. Jonathan Schug and Christian J. Stoeckert, Jr. Center for Bioinformatics at the University of Pennsylvania . jschug,stoeckrt@pcbi.upenn.edu. Background:. Example 1: Using Bounds and Annotation.

543 views • 36 slides

Meta-Analysis of Wetland Values: Modeling Spatial Dependencies

Meta-Analysis of Wetland Values: Modeling Spatial Dependencies. Randall S. Rosenberger Oregon State University Meidan Bu Microsoft. Overview. Spatial relationships in metadata Spatial econometric modeling Application to wetland valuation studies in North America

506 views • 36 slides

A Multiscale CCTA plus Spectral Graph Partitioning for Image Segmentation

A Multiscale CCTA plus Spectral Graph Partitioning for Image Segmentation. ???????. 2011 ? 8 ? 25 ?. Outline. Related works C onnected C oherence T ree A lgorithm Motivation The proposed algorithm Experiment. Image Segmentation.

483 views • 32 slides

Programming Neural Networks and Fuzzy Systems in FOREX Trading

504 views • 32 slides

Hopfield Network

Hopfield Network. Recurrent Network. HOPFIELD. The purpose of a Hopfield net is to store 1 or more patterns and to recall the full patterns based on partial input.

718 views • 28 slides

Brian

440 views • 28 slides

Hepatitis C

374 views • 28 slides

9. Continuous attractor and competitive networks

9. Continuous attractor and competitive networks. Fundamentals of Computational Neuroscience, T. P. Trappenberg , 2002. Lecture Notes on Brain and Computation Byoung-Tak Zhang Biointelligence Laboratory School of Computer Science and Engineering

395 views • 27 slides

Florida International University Total Quality Management for Engineers Spring 2011

Florida International University Total Quality Management for Engineers Spring 2011. IMPROVING CUSTOMER SATISFACTION THROUGH SALES. Team Members: Lindsey Sanders (Leader) Praneetha Boda Qian Wang Jorge Medina. OVERVIEW OF THE COMPANY.

302 views • 18 slides

Implementing a LORIPP-Compliant Option in the Loran-C User Position Software (LUPS)

Implementing a LORIPP-Compliant Option in the Loran-C User Position Software (LUPS). LORIPP Meeting July 24-25, 2002 Jaime Y. Cruz Illgen Simulation Technologies, Inc. jcruz@illgen.com / 805-692-2333 x 222. Background. LUPS v1 delivered by Illgen to the FAA in May 2001

282 views • 18 slides

Position Weight Matrices for Representing Signals in Sequences

279 views • 16 slides

Computational Intelligence Winter Term 2009/10

230 views • 12 slides

- Used to solve the single-source shortest paths problem for weighted connected graphs ? Start at a vertex designated as the source ? Find shortest paths to all other vertices - Some uses for this problem: i . Transportation planning ii. Packet routing of communication networks

485 views • 6 slides

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T-05-MU. 2012/07/27(Fri.). ????????????????? ?????????????????? Unsupervised learning of speech patterns and phone classifi-cation using Convolutive Non-negative Matrix Factorization. M2 in Chikayama Lab. 37-106488 Wataru Hariya. Introduction

189 views • 1 slides

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PREDetector : Prokaryotic Regulatory Element Detector

A. Regulatory region. Terminator region. Regulatory region. orf 1. orf 4. orf 2. orf 3. orf 5. Coding region. Co-transcribed genes. Upstream region. 4. Prediction Reliability

163 views • 1 slides