Eventbrite Data Platform Talk foir SFDM
1 SSA: A Power and Memory Efficient Scheme to Multi-Match Packet Classification Fang Yu 1 T. V. Lakshman 2 Marti Austin Motoyama 1 Randy H. Katz 1 1 EECS.
mahout introduction
ELEMENTARY DATASTRUCTURES
Efficient Sparse Coding Algorithms Liang Sun [email protected] Arizona State University.
Jia Meng, Husheng Li, and Zhu Han the 43rd Annual Conference on Information Sciences and Systems (CISS), 2009 1.
Automatically Characterizing Large Scale Program Behavior Timothy Sherwood Erez Perelman Greg Hamerly Brad Calder.
SSA: A Power and Memory Efficient Scheme to Multi-Match Packet Classification
TF-IDF
Multi-Label Prediction via Compressed Sensing By Daniel Hsu, Sham M. Kakade, John Langford, Tong Zhang (NIPS 2009) Presented by: Lingbo Li ECE, Duke University.
An Average of Several Sparse Representations is Better than the Sparsest One Alone Michael Elad The Computer Science Department The Technion – Israel Institute.
Multi-Label Prediction via Compressed Sensing
