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TECHNOLOGY KEYWORDS Code Description ELECTRONICS IT AND TELECOMMS Electronics

TECHNOLOGY KEYWORDS Code Description ELECTRONICS IT AND TELECOMMS Electronics

  • marina-yarberry
  • 8 Slides

separation sorting filtering 002002013 Moulding i...

Guided Image Filtering Kaiming He Jian Sun and Xiaoou Tang Department of Information Engineering The Chinese University of Hong Kong Microsoft Research Asia Shenzhen Institutes of Advanced Technolog

Guided Image Filtering Kaiming He Jian Sun and Xiaoou Tang Department of Information Engineering The Chinese University of Hong Kong Microsoft Research Asia Shenzhen Institutes of Advanced Technolog

  • test
  • 14 Slides

In this paper we propose a novel type of explicit...

A Keyword Sense Disambiguation Based Approach for Noise Filtering in Twitter Motivation With growing popularity of streaming social media platforms such as Twitter for news reporting locating timely a

A Keyword Sense Disambiguation Based Approach for Noise Filtering in Twitter Motivation With growing popularity of streaming social media platforms such as Twitter for news reporting locating timely a

  • tatyana-admore
  • 1 Slides

Heravi This project has been funded by SFI grant ...

COMBINE CORNE AN EDG DETECTO Chri Harri Mik Stephen Plesse Researc Rok Manor Unite Kingdo Th Plesse Compan pic Consistency of image edge filtering is of prime importance for D interpretation of ima

COMBINE CORNE AN EDG DETECTO Chri Harri Mik Stephen Plesse Researc Rok Manor Unite Kingdo Th Plesse Compan pic Consistency of image edge filtering is of prime importance for D interpretation of ima

  • luanne-stotts
  • 6 Slides

To cater for image regions containing texture and...

Figure X

Figure X

  • briana-ranney
  • 23 Slides

1 A cumulative and recursive model of successive k...

Fast Bilateral Filtering for the Display of HighDynamicRange Images Fr edo Durand and Julie Dorsey Laboratory for Computer Science Massachusetts Institute of Technology Abstract We present a new techn

Fast Bilateral Filtering for the Display of HighDynamicRange Images Fr edo Durand and Julie Dorsey Laboratory for Computer Science Massachusetts Institute of Technology Abstract We present a new techn

  • liane-varnes
  • 10 Slides

It is based on a twoscale decomposition of the im...

COMBINE CORNE AN EDG DETECTO Chri Harri Mik Stephen Plesse Researc Rok Manor Unite Kingdo Th Plesse Compan pic Consistency of image edge filtering is of prime importance for D interpretation of ima

COMBINE CORNE AN EDG DETECTO Chri Harri Mik Stephen Plesse Researc Rok Manor Unite Kingdo Th Plesse Compan pic Consistency of image edge filtering is of prime importance for D interpretation of ima

  • tatiana-dople
  • 6 Slides

To cater for image regions containing texture and...

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank Richard Socher Alex Perelygin Jean Y

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank Richard Socher Alex Perelygin Jean Y

  • alexa-scheidler
  • 12 Slides

Wu Jason Chuang Christopher D Manning Andrew Y Ng...

The Wisdom of the Few A Collaborative Filtering Approach Based on Expert Opinion s from the Web Xavier Amatriain Telefonica Research Via Augusta Barcelona Spain xartid

The Wisdom of the Few A Collaborative Filtering Approach Based on Expert Opinion s from the Web Xavier Amatriain Telefonica Research Via Augusta Barcelona Spain xartid

  • min-jolicoeur
  • 9 Slides

es Neal Lathia Dept of Computer Science University...

Google News Personalization Scalable Online Collaborative Filtering Abhinandan Das Google Inc

Google News Personalization Scalable Online Collaborative Filtering Abhinandan Das Google Inc

  • cheryl-pisano
  • 10 Slides

1600 Amphitheatre Pkwy Mountain View CA 94043 abh...

Restricted Boltzmann Mac hines for Collab orativ Filtering Ruslan Salakh utdino rsalakhucs

Restricted Boltzmann Mac hines for Collab orativ Filtering Ruslan Salakh utdino rsalakhucs

  • mitsue-stanley
  • 8 Slides

tor ontoedu Andriy Mnih amnihcstor ontoedu Geo5735...

Explaining Collaborative Filtering Recommendations ABSTRACT Keywords INTRODUCTION SOURCES OF ERROR ModelProcess Errors Data Errors EXPLANATIONS RESEARCH QUESTIONS What models and techniques are eff

Explaining Collaborative Filtering Recommendations ABSTRACT Keywords INTRODUCTION SOURCES OF ERROR ModelProcess Errors Data Errors EXPLANATIONS RESEARCH QUESTIONS What models and techniques are eff

  • karlyn-bohler
  • 10 Slides

25 129 2 77 519 116 3 78 509 122 4 78 497 129 5 77...

FAST RECURSIVE DATA PROCESSING IN GRAPHS USING REDUCTION J

FAST RECURSIVE DATA PROCESSING IN GRAPHS USING REDUCTION J

  • stefany-barnette
  • 5 Slides

H ter Bekke and JA Bakker Faculty of Information T...

Guided Image Filtering Kaiming He Jian Sun and Xiaoou Tang Department of Information Engineering The Chinese Univer sity of Hong Kong Microsoft Research Asia Shenzhen Institutes of Advanced Technol

Guided Image Filtering Kaiming He Jian Sun and Xiaoou Tang Department of Information Engineering The Chinese Univer sity of Hong Kong Microsoft Research Asia Shenzhen Institutes of Advanced Technol

  • briana-ranney
  • 14 Slides

In this paper we propose a novel type of explicit...

Any signal processing such as amplification sampling filtering noise to a measurement

Any signal processing such as amplification sampling filtering noise to a measurement

  • marina-yarberry
  • 11 Slides

Any signal processing such as amplification sampl...

Recursive CoarsetoFine Localization for fast Object Detection Marco Pedersoli Jordi Gonzalez Andrew D

Recursive CoarsetoFine Localization for fast Object Detection Marco Pedersoli Jordi Gonzalez Andrew D

  • mitsue-stanley
  • 14 Slides

Bagdanov and Juan J Villanueva Dept Ciencies de l...

Jamie Ludwig Satellite Digital Image Analysis Portland State University Filtering Convolution Matrix Color values kernel Convolution filtering is used to modify the spatial frequency characteristic

Jamie Ludwig Satellite Digital Image Analysis Portland State University Filtering Convolution Matrix Color values kernel Convolution filtering is used to modify the spatial frequency characteristic

  • pamella-moone
  • 8 Slides

Convolution is a general purpos e filter effect f...

Video Filtering Considerations for Media Processors By David Katz and Rick Gentile Blackfin Applications Group Analog Devices Inc

Video Filtering Considerations for Media Processors By David Katz and Rick Gentile Blackfin Applications Group Analog Devices Inc

  • olivia-moreira
  • 6 Slides

Until recently designers needing to perform vi de...

Comparison of Unscented and Extended Kalman Filtering for Estimating Quaternion Motion Joseph J

Comparison of Unscented and Extended Kalman Filtering for Estimating Quaternion Motion Joseph J

  • sherrill-nordquist
  • 6 Slides

LaV iola Jr Bro wn Uni ersity echnology Center fo...

Robust Extended Kalman Filtering in Hybrid Positioning Applications Tommi PER AL A and Robert PICH Tampere University of Technology Finland Email tommi

Robust Extended Kalman Filtering in Hybrid Positioning Applications Tommi PER AL A and Robert PICH Tampere University of Technology Finland Email tommi

  • conchita-marotz
  • 9 Slides

perala robertpichetut Abstract The Kalman 64257lt...

Sparse Filtering Jiquan Ngiam Pang Wei Koh Zhenghao Chen Sonia Bhaskar Andrew Y

Sparse Filtering Jiquan Ngiam Pang Wei Koh Zhenghao Chen Sonia Bhaskar Andrew Y

  • trish-goza
  • 9 Slides

Ng Computer Science Department Stanford Universit...

Collaborative Filtering forI mplicit Feedback Datasets Yifan Hu ATT Labs Research Florham Park NJ Yehuda Koren Yahoo Research Haifa Israel Chris Volinsky ATT Labs Research Florham Park NJ Abstra

Collaborative Filtering forI mplicit Feedback Datasets Yifan Hu ATT Labs Research Florham Park NJ Yehuda Koren Yahoo Research Haifa Israel Chris Volinsky ATT Labs Research Florham Park NJ Abstra

  • alida-meadow
  • 10 Slides

These systems pas sively track different sorts of...

Constant Time Weighted Median Filtering for Stereo Matching and Beyond Ziyang Ma Kaiming He Yichen Wei Jian Sun Enhua Wu University of Chinese Academy of Sciences State Key Laboratory of Computer Sc

Constant Time Weighted Median Filtering for Stereo Matching and Beyond Ziyang Ma Kaiming He Yichen Wei Jian Sun Enhua Wu University of Chinese Academy of Sciences State Key Laboratory of Computer Sc

  • min-jolicoeur
  • 8 Slides

Little attention has been seriously paid to the d...

Bounded Error Identification of TimeVarying Parameters by RLS Techniques Sergio Bittanti and Marco Campi AbsbaetThe performance of the Recursive Least Squares algorithm with constant forgetting fact

Bounded Error Identification of TimeVarying Parameters by RLS Techniques Sergio Bittanti and Marco Campi AbsbaetThe performance of the Recursive Least Squares algorithm with constant forgetting fact

  • briana-ranney
  • 5 Slides

It is shown that the mean square tracking error k...

ME UC Berkeley Spring Xu Chen Lecture System Identication and Recursive Least Squares Big picture We have been assuming knwoledge of the plant in controller design

ME UC Berkeley Spring Xu Chen Lecture System Identication and Recursive Least Squares Big picture We have been assuming knwoledge of the plant in controller design

  • karlyn-bohler
  • 11 Slides

In practice plant models come from modeling by ph...

SemiSupervised Recursive Autoencoders for Predicting Sentiment Distributions Richard Socher Jeffrey Pennington Eric H

SemiSupervised Recursive Autoencoders for Predicting Sentiment Distributions Richard Socher Jeffrey Pennington Eric H

  • min-jolicoeur
  • 11 Slides

Huang Andrew Y Ng Christopher D Manning Computer ...

Parsing Natural Scenes and Natural Language with Recursive Neural Networks Richard Socher richardsocher

Parsing Natural Scenes and Natural Language with Recursive Neural Networks Richard Socher richardsocher

  • myesha-ticknor
  • 8 Slides

org Cli57355 ChiungYu Lin chiungyustanfordedu Andr...

Recursive automata A nite automaton can be seen as a program with only a nite amount of memory

Recursive automata A nite automaton can be seen as a program with only a nite amount of memory

  • calandra-battersby
  • 4 Slides

A recursive automaton is like a program which can...

EE Lecture Wiener Filtering In this lecture we will tak dif ferent vie of ltering

EE Lecture Wiener Filtering In this lecture we will tak dif ferent vie of ltering

  • ellena-manuel
  • 11 Slides

Pre viously we ha depended on fr equencydomain sp...

Filtering In discussing Fourier transforms we developed a number of important prop erties among them the convolution property and the modulation property

Filtering In discussing Fourier transforms we developed a number of important prop erties among them the convolution property and the modulation property

  • celsa-spraggs
  • 12 Slides

The convolution property forms the basis for the ...

October Kevin Costello Random Walks on Directed Graphs Comments on a Method of Santosh Ventala The Eigencluster Algorithm given by Santosh Ventala is essentially a recursive algorithm it uses spec

October Kevin Costello Random Walks on Directed Graphs Comments on a Method of Santosh Ventala The Eigencluster Algorithm given by Santosh Ventala is essentially a recursive algorithm it uses spec

  • pasty-toler
  • 5 Slides

This may be inef64257cient as you are forced to k...

Unscented Filtering and Nonlinear Estimation SIMON J

Unscented Filtering and Nonlinear Estimation SIMON J

  • test
  • 22 Slides

JULIER MEMBER IEEE AND JEFFREY K UHLMANN MEMBER...

Closed and Open Recursion RALF HINZE Introduction Recursive functions Recursive objects Recursive functions revisited Conclusion Appendix Closed and Open Recursion RALF HINZE Institut fur Informatik

Closed and Open Recursion RALF HINZE Introduction Recursive functions Recursive objects Recursive functions revisited Conclusion Appendix Closed and Open Recursion RALF HINZE Institut fur Informatik

  • celsa-spraggs
  • 23 Slides

unibonnde Homepage httpwwwinformatikunibonnderalf ...

Noise reduction by filtering is the most commonly used method for improving signaltonoise ratio

Noise reduction by filtering is the most commonly used method for improving signaltonoise ratio

  • faustina-dinatale
  • 4 Slides

The increase in settling time however can be a se...

EE Autumn Stephen Boyd Lecture Leastsquares applications leastsquares data tting growing sets of regressors system identication growing sets of measurements and recursive leastsquares Leastsquare

EE Autumn Stephen Boyd Lecture Leastsquares applications leastsquares data tting growing sets of regressors system identication growing sets of measurements and recursive leastsquares Leastsquare

  • celsa-spraggs
  • 23 Slides

f called regressors or basis functions data or ...

Semantic Compositionality through Recursive MatrixVector Spaces Richard Socher Brody Huval Christopher D

Semantic Compositionality through Recursive MatrixVector Spaces Richard Socher Brody Huval Christopher D

  • celsa-spraggs
  • 11 Slides

Manning Andrew Y Ng richardsocherorg brodyhmannin...

Eigentaste A Constant Time Collaborative Filtering Algorithm Ken Goldberg and Theresa Roeder and Dhruv Gupta and Chris Perkins IEOR and EECS Departments University of California Berkeley August Abst

Eigentaste A Constant Time Collaborative Filtering Algorithm Ken Goldberg and Theresa Roeder and Dhruv Gupta and Chris Perkins IEOR and EECS Departments University of California Berkeley August Abst

  • tatiana-dople
  • 11 Slides

PCA facilitates dimensionality reduction for of64...

Deep Recursive Neural Networks for Compositionality in Language Ozan Irsoy Department of Computer Science Cornell University Ithaca NY oirsoycs

Deep Recursive Neural Networks for Compositionality in Language Ozan Irsoy Department of Computer Science Cornell University Ithaca NY oirsoycs

  • tawny-fly
  • 9 Slides

cornelledu Claire Cardie Department of Computer Sc...

Recursive Program Synthesis Aws Albarghouthi Sumit Gulwani and Zachary Kincaid University of Toronto Microsoft Research Abstract

Recursive Program Synthesis Aws Albarghouthi Sumit Gulwani and Zachary Kincaid University of Toronto Microsoft Research Abstract

  • jane-oiler
  • 17 Slides

Inputoutput examples are a simple and accessible ...

Partial Recursive Functions Computation Theory L Aim Amoreabstractmachineindependentdescriptionofthe collection of computable partial functions than provided by registerTuring machines they form

Partial Recursive Functions Computation Theory L Aim Amoreabstractmachineindependentdescriptionofthe collection of computable partial functions than provided by registerTuring machines they form

  • conchita-marotz
  • 24 Slides

Computation Theory L 8 102171 brPage 3br Example...

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