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Eecs W16 published presentations and documents on DocSlides.

EECS 370 Discussion
EECS 370 Discussion
by olivia-moreira
1. x. kcd.com. EECS 370 Discussion. Topics Today:...
EECS 370 Discussion
EECS 370 Discussion
by lindy-dunigan
Programming Languages as cars. C. A racing car th...
EECS 370 Discussion
EECS 370 Discussion
by min-jolicoeur
1. xkcd. EECS 370 Discussion. Exam 2. High: 97 Lo...
EECS 370 Discussion
EECS 370 Discussion
by tawny-fly
1. xkcd.com. EECS 370 Discussion. Topics Today:. ...
EECS Lecture Frequency response Prof J
EECS Lecture Frequency response Prof J
by tatyana-admore
S Smith EECS 105 Prof J S Smith Context Today we ...
PNUTS: Yahoo’s Hosted Data Serving Platform
PNUTS: Yahoo’s Hosted Data Serving Platform
by jane-oiler
Jonathan . Danaparamita. . jdanap. at . umich. ...
Charles John Wa, EECS UM1Future Directions in Internet Architecture Ch
Charles John Wa, EECS UM1Future Directions in Internet Architecture Ch
by tatyana-admore
1 Charles John Wa, EECS UM2Papers to CovernTussle ...
The Scalable Commutativity Rule: Designing Scalable Softwar
The Scalable Commutativity Rule: Designing Scalable Softwar
by min-jolicoeur
Processors. Presented by . Remzi. Can . Aksoy. *...
October 14, 2012 Department of Electrical Engineering and Computer Sciences
October 14, 2012 Department of Electrical Engineering and Computer Sciences
by olivia-moreira
Department Chair: David Culler. Associate Departm...
EC-Cache: Load-balanced, Low-latency Cluster
EC-Cache: Load-balanced, Low-latency Cluster
by pasty-toler
Caching with . Online Erasure Coding. K. V. . Ras...
EECS New Ph.D. Student Orientation
EECS New Ph.D. Student Orientation
by madison
September 21, 2022. 2. Welcome to the . Samueli. ...
IX: A Protected Dataplane
IX: A Protected Dataplane
by zoe
Operating System for High Throughput and Low Laten...
Arrakis : The Operating System is the Control Plane
Arrakis : The Operating System is the Control Plane
by josephine
Simon Peter, . Jialin. Li, Irene Zhang, Dan R. K....
Probability in EECS Jean Walrand – EECS – UC Berkeley
Probability in EECS Jean Walrand – EECS – UC Berkeley
by tracy
Kalman. Filter. Kalman. Filter: Overview. Overvi...
Revisiting kmeans New Algorithms via Bayesian Nonparametrics Brian Kulis KULIS C
Revisiting kmeans New Algorithms via Bayesian Nonparametrics Brian Kulis KULIS C
by test
Jordan JORDAN EECS BERKELEY EDU Departments of EE...
Recognizing Indoor Scenes Ariadna Quattoni CSAIL MIT UC Berkeley EECS ICSI ariadnacsail
Recognizing Indoor Scenes Ariadna Quattoni CSAIL MIT UC Berkeley EECS ICSI ariadnacsail
by lindy-dunigan
mitedu Antonio Torralba CSAIL MIT 32 Vassar St Cam...
FALL SPRING FALL SPRING FALL SPRING FALL SPRING MATH A MATH B MATH MATH ME EECS ME A ME B CHEM A or PHYS A PHYS B ME ME ME ME CHEM A E E ME C ME ME E E ELECTIVES ELECTIVES ELECTIVES ELECT
FALL SPRING FALL SPRING FALL SPRING FALL SPRING MATH A MATH B MATH MATH ME EECS ME A ME B CHEM A or PHYS A PHYS B ME ME ME ME CHEM A E E ME C ME ME E E ELECTIVES ELECTIVES ELECTIVES ELECT
by kittie-lecroy
DESIGN COURSES 57479573470DWK57347573685736657347...
HH Dow GG Brown EECS Fuller Road Bonisteel Blvd
HH Dow GG Brown EECS Fuller Road Bonisteel Blvd
by alexa-scheidler
Broadway Plymouth Road Hubbard Road Hayward Hubba...
Object Segmentation by Long Term Analysis of Point Trajectories Thomas Brox and Jitendra Malik University of California at Berkeley AlbertLudwigsUniversity of Freiburg Germany broxmalik eecs
Object Segmentation by Long Term Analysis of Point Trajectories Thomas Brox and Jitendra Malik University of California at Berkeley AlbertLudwigsUniversity of Freiburg Germany broxmalik eecs
by briana-ranney
berkeleyedu Abstract Unsupervised learning require...
Dense Point Trajectories by GPUaccelerated Large Displacement Optical Flow Narayanan Sundaram Thomas Brox and Kurt Keutzer University of California at Berkeley narayansbroxkeutzer eecs
Dense Point Trajectories by GPUaccelerated Large Displacement Optical Flow Narayanan Sundaram Thomas Brox and Kurt Keutzer University of California at Berkeley narayansbroxkeutzer eecs
by marina-yarberry
berkeleyedu Abstract Dense and accurate motion tra...
Simultaneous Detection and Segmentation Bharath Hariharan Pablo Arbelaez Ross Girshick and Jitendra Malik bharatharbelaezrbgmalik eecs
Simultaneous Detection and Segmentation Bharath Hariharan Pablo Arbelaez Ross Girshick and Jitendra Malik bharatharbelaezrbgmalik eecs
by mitsue-stanley
berkeleyedu University of California Berkeley Univ...
DirectionOptimizing BreadthFirst Search Scott Beamer Krste Asanovi c David Patterson Electrical Engineering and Computer Sciences Department University of California Berkeley sbeamerkrstepattrsn eecs
DirectionOptimizing BreadthFirst Search Scott Beamer Krste Asanovi c David Patterson Electrical Engineering and Computer Sciences Department University of California Berkeley sbeamerkrstepattrsn eecs
by trish-goza
berkeleyedu Abstract BreadthFirst Search is an imp...
Distributed Memory BreadthFirst Search Revisited Enabling BottomUp Search Scott Beamer EECS Department University of California Berkeley California Aydn Buluc Computational Research Division Lawrence
Distributed Memory BreadthFirst Search Revisited Enabling BottomUp Search Scott Beamer EECS Department University of California Berkeley California Aydn Buluc Computational Research Division Lawrence
by tatiana-dople
In the worst case the complexity of BFS is linear...
University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences EECS Spring Lab EPROMs This lab is to be completed with a project partner
University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences EECS Spring Lab EPROMs This lab is to be completed with a project partner
by tatyana-admore
Starting with this lab Xilinx boards will be assi...
OPTIMAL QUANTIZERS FOR DISTRIBUTED BAYESIAN ESTIMATION Aditya Vempaty Biao Chen Pramod K
OPTIMAL QUANTIZERS FOR DISTRIBUTED BAYESIAN ESTIMATION Aditya Vempaty Biao Chen Pramod K
by faustina-dinatale
Varshney Department of EECS Syracuse University N...
EECS IMPULSES AND IMPULSE RESPONSE CONTINUOUSTIME IMPULSES Def An impulse is the limiting case of a constantarea high and fast pulse
EECS IMPULSES AND IMPULSE RESPONSE CONTINUOUSTIME IMPULSES Def An impulse is the limiting case of a constantarea high and fast pulse
by ellena-manuel
An impulse has zero width in64257nite height and...
Analyzing the Performance of Multilayer Neural Networks for Object Recognition Pulkit Agrawal Ross Girshick Jitendra Malik pulkitagrbgmalik eecs
Analyzing the Performance of Multilayer Neural Networks for Object Recognition Pulkit Agrawal Ross Girshick Jitendra Malik pulkitagrbgmalik eecs
by luanne-stotts
berkeleyedu University of California Berkeley Abst...
Object Segmentation by Long Term Analysis of Point Trajectories Thomas Brox and Jitendra Malik University of California at Berkeley AlbertLudwigsUniversity of Freiburg Germany broxmalik eecs
Object Segmentation by Long Term Analysis of Point Trajectories Thomas Brox and Jitendra Malik University of California at Berkeley AlbertLudwigsUniversity of Freiburg Germany broxmalik eecs
by giovanna-bartolotta
berkeleyedu Abstract Unsupervised learning require...
EECS Digital Signal Processing University of Californi a Berkeley Fall Gastpar November The Power Density Spectrum Preliminary version please report errors typos and sugg estions for improvement
EECS Digital Signal Processing University of Californi a Berkeley Fall Gastpar November The Power Density Spectrum Preliminary version please report errors typos and sugg estions for improvement
by liane-varnes
On a second reading if you are interested you may...
EECS Astable Monostable an d Bistable op amp circuits EE Lab Astable Monostable and Bistable op amp circuits Theory
EECS Astable Monostable an d Bistable op amp circuits EE Lab Astable Monostable and Bistable op amp circuits Theory
by pasty-toler
Objective In this laboratory measurement you will...
Visual Concept Learning Combining Machine Vision and Bayesian Generalization on Concept Hierarchies Yangqing Jia Joshua Abbott Joseph Austerweil Thomas Grifths Trevor Darrell UC Berkeley EECS Dep
Visual Concept Learning Combining Machine Vision and Bayesian Generalization on Concept Hierarchies Yangqing Jia Joshua Abbott Joseph Austerweil Thomas Grifths Trevor Darrell UC Berkeley EECS Dep
by alexa-scheidler
abbott tom griffiths trevor berkeleyedu joseph aus...
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
by tatiana-dople
PCA facilitates dimensionality reduction for of64...
Partbased RCNNs for Finegrained Category Detection Ning Zhang Je Donahue Ross Girshick Trevor Darrell nzhangjdonahuerbgtrevor eecs
Partbased RCNNs for Finegrained Category Detection Ning Zhang Je Donahue Ross Girshick Trevor Darrell nzhangjdonahuerbgtrevor eecs
by pasty-toler
berkeleyedu University of California Berkeley Abst...
Practical Chiplevel Equalizers in HSDPA Minjae Park Woonsik Lee MinhViet Nguyen and Hwang Soo Lee Department of EECS Division of Electrical Engineering Korea Advanced Institute of Science and Technol
Practical Chiplevel Equalizers in HSDPA Minjae Park Woonsik Lee MinhViet Nguyen and Hwang Soo Lee Department of EECS Division of Electrical Engineering Korea Advanced Institute of Science and Technol
by lindy-dunigan
kaistackr hwangleeeekaistackr Abstract Highspeed ...
EECS POWER SPECTRAL DENSITY Fall Given is a realvalued mean WSS random process RP
EECS POWER SPECTRAL DENSITY Fall Given is a realvalued mean WSS random process RP
by faustina-dinatale
With Autocorrelation for any time Note 0mean ...
TRACKING MOTIONBLURRED TARGETS IN VIDEO Shengyang Dai Ming Yang Ying Wu Aggelos K
TRACKING MOTIONBLURRED TARGETS IN VIDEO Shengyang Dai Ming Yang Ying Wu Aggelos K
by sherrill-nordquist
Katsaggelos Department of EECS Northwestern Univer...
EECS a Advanced Topics in Computer Systems Lecture PaxosMegastore November th John Kubiatowicz Electrical Engineering and Computer Sciences University of California Berkeley httpwww
EECS a Advanced Topics in Computer Systems Lecture PaxosMegastore November th John Kubiatowicz Electrical Engineering and Computer Sciences University of California Berkeley httpwww
by calandra-battersby
eecsberkeleyedukubitroncs262 11242014 cs262aF14 Le...
Learning Rich Features from RGBD Images for Object Detection and Segmentation Saurabh Gupta Ross Girshick Pablo Arbelaez and Jitendra Malik sgupta rbg arbelaez malik eecs
Learning Rich Features from RGBD Images for Object Detection and Segmentation Saurabh Gupta Ross Girshick Pablo Arbelaez and Jitendra Malik sgupta rbg arbelaez malik eecs
by test
berkeleyedu University of California Berkeley Univ...
EECS a Advanced Topics in Computer Systems Lecture Pa
EECS a Advanced Topics in Computer Systems Lecture Pa
by trish-goza
Joseph Electrical Engineering and Computer Scienc...
Lecture Blackwells Approachability Theorem EECS Pred
Lecture Blackwells Approachability Theorem EECS Pred
by calandra-battersby
Jacob Abernethy Scribe Petter Nilsson Announcemen...