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OL
2011
177views Neural Networks» more  OL 2011»
14 years 10 months ago
Exploiting vector space properties to strengthen the relaxation of bilinear programs arising in the global optimization of proce
In this paper we present a methodology for finding tight convex relaxations for a special set of quadratic constraints given by bilinear and linear terms that frequently arise in ...
Juan P. Ruiz, Ignacio E. Grossmann
AAAI
2011
14 years 7 months ago
Pushing the Power of Stochastic Greedy Ordering Schemes for Inference in Graphical Models
We study iterative randomized greedy algorithms for generating (elimination) orderings with small induced width and state space size - two parameters known to bound the complexity...
Kalev Kask, Andrew Gelfand, Lars Otten, Rina Decht...
TOCS
2012
13 years 10 months ago
A File Is Not a File: Understanding the I/O Behavior of Apple Desktop Applications
We analyze the I/O behavior of iBench, a new collection of productivity and multimedia application workloads. Our analysis reveals a number of differences between iBench and typic...
Tyler Harter, Chris Dragga, Michael Vaughn, Andrea...
CVPR
2012
IEEE
13 years 10 months ago
Max-margin early event detectors
The need for early detection of temporal events from sequential data arises in a wide spectrum of applications ranging from human-robot interaction to video security. While tempor...
Minh Hoai Nguyen, Fernando De la Torre
TMC
2012
13 years 10 months ago
Distributed Throughput Maximization in Wireless Networks via Random Power Allocation
—We develop a distributed throughput-optimal power allocation algorithm in wireless networks. The study of this problem has been limited due to the nonconvexity of the underlying...
Hyang-Won Lee, Eytan Modiano, Long Bao Le