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Total Dose Effects and Modeling Approaches for Devices and ICS

Total Dose Effects and Modeling Approaches for Devices and ICS

Total Dose Effects and Modeling Approaches for Devices and ICS. H. J. Barnaby School of Electrical, Computer, and Energy Engineering Ira A. Fulton Schools of Engineering Arizona State University, Tempe, AZ. The Total Ionizing Dose Problem.

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930 views • 68 slides
Data Mining: Data

Data Mining: Data

Data Mining: Data. Lecture Notes for Chapter 2 CSE 572 Data Mining Instructor: Jieping Ye Department of Computer Science and Engineering Arizona State University. What is Data?. Collection of data objects and their attributes An attribute is a property or characteristic of an object

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947 views • 67 slides
Principal Component Analysis and Linear Discriminant Analysis for Feature Reduction

Principal Component Analysis and Linear Discriminant Analysis for Feature Reduction

Principal Component Analysis and Linear Discriminant Analysis for Feature Reduction. Jieping Ye Department of Computer Science and Engineering Arizona State University http://www.public.asu.edu/~jye02. Outline of lecture. What is feature reduction? Why feature reduction?

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969 views • 40 slides
Tools for Memory: Semantic Content (XML)

Tools for Memory: Semantic Content (XML)

Tools for Memory: Semantic Content (XML). Mahesh Chaudhari School of Computing and Informatics Department of Computer Science and Engineering Arizona State University. Outline. World Wide Web (WWW) and HTML Migration towards XML What is XML? XML supporting Technologies

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461 views • 37 slides
Total Ionizing Dose Effects in Bulk Technologies and Devices

Total Ionizing Dose Effects in Bulk Technologies and Devices

Total Ionizing Dose Effects in Bulk Technologies and Devices. Hugh Barnaby, Jie Chen, Ivan Sanchez Department of Electrical Engineering Ira A. Fulton School of Engineering Arizona State University. Outline. Overview of ASU tasks Total ionizing dose defect models Device TID response

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575 views • 36 slides
Kernel Methods: Basics

Kernel Methods: Basics

Kernel Methods: Basics. Jieping Ye Department of Computer Science and Engineering Arizona State University http://www.public.asu.edu/~jye02. Outline. Kernel Methods: Basic ideas Kernels and similarity How to choose kernels? Kernels and learning. Kernel Methods: Basic ideas.

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482 views • 35 slides
Compiler Optimization to Reduce Soft Errors in Register Files

Compiler Optimization to Reduce Soft Errors in Register Files

Compiler Optimization to Reduce Soft Errors in Register Files. Jongeun Lee, Aviral Shrivastava* Compiler Microarchitecture Lab Department of Computer Science and Engineering Arizona State University. Reliability Problem. What is Soft Error? Transient error, or bit-flip Cause

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403 views • 28 slides
Scalable Learning of Collective Behavior based on Sparse Social Dimensions

Scalable Learning of Collective Behavior based on Sparse Social Dimensions

Scalable Learning of Collective Behavior based on Sparse Social Dimensions . Lei Tang and Huan Liu Data Mining and Machine Learning Laboratory Computer Science & Engineering Arizona State University. The 18 th ACM International Conference on

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483 views • 23 slides
Manifold learning: Locally Linear Embedding

Manifold learning: Locally Linear Embedding

Manifold learning: Locally Linear Embedding. Jieping Ye Department of Computer Science and Engineering Arizona State University http://www.public.asu.edu/~jye02. Review: MDS. Metric scaling (classical MDS) assuming D is the squared distance matrix. Non-metric scaling

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772 views • 23 slides
Collaborative Annotation, Archival and Visualization in a Biofeedback Rehabilitation system

Collaborative Annotation, Archival and Visualization in a Biofeedback Rehabilitation system

Collaborative Annotation, Archival and Visualization in a Biofeedback Rehabilitation system. Hari Sundaram Arts Media and Engineering Arizona State University. Introduction. Motivation:

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516 views • 21 slides
Latent Semantic Indexing

Latent Semantic Indexing

Latent Semantic Indexing. Jieping Ye Department of Computer Science & Engineering Arizona State University http://www.public.asu.edu/~jye02. Singular Value Decomposition. orthogonal. diagonal. orthogonal. Some Properties of SVD. Some Properties of SVD.

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404 views • 20 slides

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