1 Estimating Aggregates on a Peer-to-Peer Network M AYANK BAWA , H ECTOR G ARCIA -M OLINA , A RISTIDES G IONIS , R AJEEV M OTWANI Computer Science Department Stanford University

Source URL: www.cc.gatech.edu

• Distributed data storage
• Distributed computing
• Routing algorithms
• Network architecture
• Knowledge representation
• Tree
• Gossip protocol
• B-tree
• Routing
• Distributed hash table
• Kademlia

Convolutional Neural Network Implementation of Superresolution Video David Zeng Stanford University Stanford, CA

Source URL: cs231n.stanford.edu

An Analysis of Single-Layer Networks in Unsupervised Feature Learning Adam Coates Stanford University Computer Science Dept.

Source URL: ai.stanford.edu

• Machine learning
• Statistics
• Artificial intelligence
• Learning
• Feature learning
• Deep learning
• K-means clustering
• Pattern recognition
• Supervised learning
• Statistical classification
• Artificial neural network
• Cluster analysis

Pose Estimation on Depth Images with Convolutional Neural Network Jingwei Huang Stanford University David Altamar Stanford University

Source URL: cs231n.stanford.edu

Facial keypoints detection using Neural Network Shutong Zhang Stanford University Chenyue Meng Stanford University

Source URL: cs231n.stanford.edu

A Survey of Boolean Matching Techniques for Library Binding LUCA BENINI and GIOVANNI DE MICHELI Stanford University When binding a logic network to a set of cells, a fundamental problem is recognizing whether

Source URL: si2.epfl.ch

SWAT: Enabling Wireless Network Measurements Kannan Srinivasan, Maria A. Kazandjieva, Mayank Jain, Eddie Kim, and Philip Levis Computer Systems Lab Stanford University Stanford, CA 94305

Source URL: sing.stanford.edu

CS229/CS221 PROJECT REPORT , DECEMBER 2015, STANFORD UNIVERSITY 1 Intelligent Rapid Voice Recognition using Neural Tensor Network, SVM and Reinforcement Learning

Source URL: cs229.stanford.edu

Performance of Checksums and CRCs over Real Data Craig Partridge (Bolt Beranek and Newman, Inc)† Jim Hughes (Network Systems Corporation) and Jonathan Stone (Stanford University) Abstract

Source URL: ccr.sigcomm.org

On the effectiveness and simplicity of linear recursive neural network Ruoxi Wang ICME, Stanford University Stanford, CA 94305

Source URL: cs224d.stanford.edu