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210
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ICCV
2011
IEEE
14 years 21 days ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
116
Voted
ICRA
2003
IEEE
171views Robotics» more  ICRA 2003»
15 years 6 months ago
Motion planning for multiple mobile robots using dynamic networks
- A new motion planning framework is presented that enables multiple mobile robots with limited ranges of sensing and communication to maneuver and achieve goals safely in dynamic ...
Christopher M. Clark, Stephen M. Rock, Jean-Claude...
73
Voted
SENSYS
2009
ACM
15 years 7 months ago
A wake-on sensor network
: This paper present a wake-on sensor network formed with the wake-on motes, TelosW. Our wake-on hardware and software design enable lower power operations and longer network lifet...
Gang Lu, Debraj De, Mingsen Xu, Wen-Zhan Song, Beh...
106
Voted
IEEEAMS
2002
IEEE
15 years 5 months ago
A Framework for Application-Specific Customization of Network Services
We propose a network service framework where common network functions such as routing and multicast can be customized on a per-application basis. Network service customization is ...
Sriram Ramabhadran, Joseph Pasquale
96
Voted
ACL
2008
15 years 2 months ago
Machine Translation System Combination using ITG-based Alignments
Given several systems' automatic translations of the same sentence, we show how to combine them into a confusion network, whose various paths represent composite translations...
Damianos Karakos, Jason Eisner, Sanjeev Khudanpur,...