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EE 445S Real-Time Digital
EE 445S Real-Time Digital
by jocelyn
Signal Processing Lab. . Fall . 2013. Lab #3.1. D...
Progressive Encoding-Decoding using Convolutional Autoencoder
Progressive Encoding-Decoding using Convolutional Autoencoder
by dorothy
Samveed. Desai. Research Intern. IISc. Bangalore...
1 Lecture: Eyeriss Dataflow
1 Lecture: Eyeriss Dataflow
by anastasia
Topics: . Eyeriss. architecture and dataflow (dig...
Perceptron: This is convolution!
Perceptron: This is convolution!
by yvonne
v. v. v. v. Shared weights. Filter = ‘local’ p...
Unit Hydrograph Reading: Sections 7.1-7.3, 7.5, 7.7,
Unit Hydrograph Reading: Sections 7.1-7.3, 7.5, 7.7,
by heavin
Hydrologic Analysis. Change in storage w.r.t. time...
Deep Learning Overview Train
Deep Learning Overview Train
by delcy
networks with many layers . (vs. shallow nets with...
Zihe.wang@ibm.comOpen questions and future visionCurrent progressProje
Zihe.wang@ibm.comOpen questions and future visionCurrent progressProje
by firingbarrels
Relevant Papers1. Think Globally, Act Locally: A D...
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
by webraph
William L. Hamilton, Rex Ying, Jure . Leskovec. Ke...
HKN ECE 310 Final Exam Review Session
HKN ECE 310 Final Exam Review Session
by medshair
Corey Snyder. Ben Eng. Topics. LSIC Systems and BI...
Lecture 2: Image filtering
Lecture 2: Image filtering
by phoebe-click
What is an image?. A grid (matrix) of intensity v...
Signal processing and Networking for Big Data
Signal processing and Networking for Big Data
by olivia-moreira
Applications. Lectures . 14-15: . CNN. . and . R...
Autonomous Cyber-Physical Systems:
Autonomous Cyber-Physical Systems:
by giovanna-bartolotta
Convolutional Neural Networks. Spring 2018. CS 59...
An Introduction to Convolutional Neural Networks
An Introduction to Convolutional Neural Networks
by karlyn-bohler
Shuo. Yu. October 3, 2018. 1. 10/11/2018. Acknow...
Motion Planning in Dynamic Environments
Motion Planning in Dynamic Environments
by yoshiko-marsland
Two Challenges for Optimal Path planning. Classic...
Environmental Data Analysis with
Environmental Data Analysis with
by stefany-barnette
MatLab. Lecture 17:. Covariance and Autocorrelati...
Portable Performance on Heterogeneous Architectures
Portable Performance on Heterogeneous Architectures
by ellena-manuel
Phitchaya. . Mangpo. . Phothilimthana. Jason . ...
Christopher Re and Dan Suciu
Christopher Re and Dan Suciu
by tatyana-admore
University of Washington. Efficient Evaluation of...
CS 2770: Computer Vision
CS 2770: Computer Vision
by karlyn-bohler
Convolutional Neural Networks. Prof. Adriana . Ko...
Gregory Moore, Rutgers University
Gregory Moore, Rutgers University
by calandra-battersby
SCGP, October 15, 2013. collaborati...
Frequency space, fourier
Frequency space, fourier
by conchita-marotz
transforms, and . image analysis. Kurt Thorn. Ni...
Brandon Ravenscroft EECS 800
Brandon Ravenscroft EECS 800
by luanne-stotts
09/27/2015. Interpolation and Pulse Compression. ...
Project 1 Hybrid Images A. Oliva, A. Torralba, P.G. Schyns,
Project 1 Hybrid Images A. Oliva, A. Torralba, P.G. Schyns,
by mitsue-stanley
“Hybrid Images,”. SIGGRAPH 2006. Why do we g...
CS 7643: Deep Learning Dhruv Batra
CS 7643: Deep Learning Dhruv Batra
by tatiana-dople
Georgia Tech. Topics. : . Toeplitz matrices and c...
Environmental Data Analysis with
Environmental Data Analysis with
by tatyana-admore
MatLab. Lecture 18:. Cross-correlation. . Lectur...
Design Space Exploration of FPGA-Based
Design Space Exploration of FPGA-Based
by danika-pritchard
Deep Convolutional Neural Networks. Philipp Gysel...
Convolutional Neural Network (CNN)
Convolutional Neural Network (CNN)
by natalia-silvester
Munif. CNN. The (CNN. ) . consists of: . . Convo...
Lect4 Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT)
Lect4 Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT)
by tatiana-dople
4.1 DFT . . In practice the Fourier components o...
ECE 546 Lecture -15 Circuit Synthesis
ECE 546 Lecture -15 Circuit Synthesis
by celsa-spraggs
Spring . 2018. Jose E. . Schutt-Aine. Electrical ...
Image Processing & Antialiasing
Image Processing & Antialiasing
by faustina-dinatale
Part II (Aliasing, Sampling, Convolution, and Fil...
459 XIV. Number Theoretic Transform (NTT)
459 XIV. Number Theoretic Transform (NTT)
by giovanna-bartolotta
Number Theoretic Transform and Its Inverse. ...
Fast and Efficient Implementation of Convolutional Neural Networks on FPGA
Fast and Efficient Implementation of Convolutional Neural Networks on FPGA
by stefany-barnette
Abhinav . Podili. , Chi Zhang, Viktor . Prasanna....
Distributed Tree Kernels
Distributed Tree Kernels
by debby-jeon
and . Distributional. Semantics. :. Between. ....
The General Linear Model (GLM)
The General Linear Model (GLM)
by lindy-dunigan
Zurich SPM Course 2011. 16-18 February. Klaas Enn...
2.0 Linear Time-invariant Systems
2.0 Linear Time-invariant Systems
by yoshiko-marsland
2.1 Discrete-time Systems: the Convolution Sum. R...
A Spreadsheet-based Manipulative
A Spreadsheet-based Manipulative
by myesha-ticknor
Support for Teaching Convolution. STEM Teaching a...
Learning to Answer Questions from Image Using Convolutional
Learning to Answer Questions from Image Using Convolutional
by aaron
Lin Ma, . Zhengdong. Lu, and Hang Li. Huawei Noa...
Brent M. Dingle, Ph.D. 2015
Brent M. Dingle, Ph.D. 2015
by phoebe-click
Game Design and Development Program. Mathematics,...
Chapter 3: Image processing
Chapter 3: Image processing
by karlyn-bohler
and computer vision. Edge detection and image fil...
Edge detection
Edge detection
by jane-oiler
Winter in . Kraków. photographed by . Marcin. ...
Caffeine: Towards Uniformed Representation and Acceleration
Caffeine: Towards Uniformed Representation and Acceleration
by lindy-dunigan
Chen . Zhang. 1. ，. 2. ，. 3. , . Zhenman . Fa...