'Computationally efficient' presentation slideshows

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Category-level localization

Category-level localization

Category-level localization. Cordelia Schmid. Recognition. Classification Object present/absent in image Often presence of a significant amount of background clutter. Localization / Detection Localize object within the frame Bounding box or pixel-level segmentation.

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496 views • 36 slides
Kyle M. Tarplee 1 , Ryan Friese 1 , Anthony A. Maciejewski 1 , H.J. Siegel 1,2

Kyle M. Tarplee 1 , Ryan Friese 1 , Anthony A. Maciejewski 1 , H.J. Siegel 1,2

Efficient and Scalable Computation of the Energy and Makespan Pareto Front for Heterogeneous Computing Systems. Kyle M. Tarplee 1 , Ryan Friese 1 , Anthony A. Maciejewski 1 , H.J. Siegel 1,2 1 Department of Electrical and Computer Engineering 2 Department of Computer Science

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370 views • 25 slides
Selecting Attributes for Sentiment Classification Using Feature Relation Networks

Selecting Attributes for Sentiment Classification Using Feature Relation Networks

Selecting Attributes for Sentiment Classification Using Feature Relation Networks. Presenter : Jian-Ren Chen Authors : Ahmed Abbasi, Stephen France, Zhu Zhang , and Hsinchun Chen 2011 , IEEE TKDE. Outlines. Motivation Objectives Methodology Experiments Conclusions Comments.

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341 views • 22 slides
Image Compression Using Inpainting

Image Compression Using Inpainting

Image Compression Using Inpainting. Min-Wook Jeong Young Min Kim Jungsuk Kwac. Organization. Motivation Structure Inpainting Texture Inpainting Result Conclusion Reference. Motivation. Motivation (Cont.). Structure Inpainting. Recovering general structure (big picture)

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604 views • 20 slides
Satellite Orbital Conjunction Reports Assessing Threatening Encounters in Space (SOCRATES)

Satellite Orbital Conjunction Reports Assessing Threatening Encounters in Space (SOCRATES)

Satellite Orbital Conjunction Reports Assessing Threatening Encounters in Space (SOCRATES). Dr. T.S. Kelso and Dr. Sal Alfano Center for Space Standards and Innovation. Overview. Introduction Background Methodology Demonstration Conclusions Epilog. Introduction.

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256 views • 15 slides
Satellite Orbital Conjunction Reports Assessing Threatening Encounters in Space (SOCRATES)

Satellite Orbital Conjunction Reports Assessing Threatening Encounters in Space (SOCRATES)

Satellite Orbital Conjunction Reports Assessing Threatening Encounters in Space (SOCRATES). Dr. T.S. Kelso and Dr. Sal Alfano Center for Space Standards and Innovation. Overview. Introduction Background Methodology Demonstration Conclusions Epilog. Introduction.

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228 views • 15 slides
Satellite Orbital Conjunction Reports Assessing Threatening Encounters in Space (SOCRATES)

Satellite Orbital Conjunction Reports Assessing Threatening Encounters in Space (SOCRATES)

Satellite Orbital Conjunction Reports Assessing Threatening Encounters in Space (SOCRATES) . Dr. T.S. Kelso and Dr. Sal Alfano Center for Space Standards and Innovation. Overview. Introduction Background Methodology Demonstration Conclusions. Introduction.

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238 views • 14 slides
Fast Frequent Free Tree Mining in Graph Databases

Fast Frequent Free Tree Mining in Graph Databases

Fast Frequent Free Tree Mining in Graph Databases. Marko Lazi ? 3335/2011 marko.lazi c 88@gmail.com. Department of Computer Engineering and Computer Science, School of Electrical Engineering, University of Belgrade. /14. Free tree. Connected Undirected Ac yclic Usage

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230 views • 14 slides
Satellite Orbital Conjunction Reports Assessing Threatening Encounters in Space (SOCRATES)

Satellite Orbital Conjunction Reports Assessing Threatening Encounters in Space (SOCRATES)

Satellite Orbital Conjunction Reports Assessing Threatening Encounters in Space (SOCRATES). Dr. T.S. Kelso and Dr. Sal Alfano Center for Space Standards and Innovation. Overview. Introduction Background Methodology Demonstration Conclusions. Introduction.

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221 views • 14 slides
Lab 13: Association Genetics

Lab 13: Association Genetics

Lab 13: Association Genetics. Goals. Use a Mixed Model to determine genetic associations. Understand the effect of population structure and kinship on associations. Use Trait Analysis by aSSociation , Evolution and Linkage (TASSEL) to calculate phenotype-genotype associations.

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188 views • 8 slides
Modeling of Power Delivery Network (PDN) Jae Young Choi, and Madhavan Swaminathan

Modeling of Power Delivery Network (PDN) Jae Young Choi, and Madhavan Swaminathan

Objectives Computationally efficient and accurate modeling method for package PDN Automated decoupling capacitor selection and placement Power/Signal co-simulation. Accomplishments Developed multilayered-FEM (MFEM) Computationally efficient (speed, memory)

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418 views • 1 slides
Modeling of Power Delivery Network (PDN) Jae Young Choi, and Madhavan Swaminathan

Modeling of Power Delivery Network (PDN) Jae Young Choi, and Madhavan Swaminathan

Objectives Computationally efficient and accurate modeling method for package PDN Automated decoupling capacitor selection and placement Power/Signal co-simulation. Accomplishments Developed multilayered-FEM (MFEM) Computationally efficient (speed, memory)

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177 views • 1 slides

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