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» Robust optimization - methodology and applications
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102
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CC
2002
Springer
103views System Software» more  CC 2002»
15 years 1 months ago
StreamIt: A Language for Streaming Applications
We characterize high-performance streaming applications as a new and distinct domain of programs that is becoming increasingly important. The StreamIt language provides novel high-...
William Thies, Michal Karczmarek, Saman P. Amarasi...
96
Voted
ICRA
2007
IEEE
114views Robotics» more  ICRA 2007»
15 years 8 months ago
Spherical Laser Point Sampling with Application to 3D Scene Genetic Registration
— Scene registration of 3D laser rangefinder scans is increasingly being required in applications, such as mobile robotics, that demand a timely response. For speeding up point ...
Jorge L. Martínez, Antonio Reina, Anthony M...
ADHOC
2006
97views more  ADHOC 2006»
15 years 1 months ago
A probabilistic algorithm for efficient and robust data propagation in wireless sensor networks
We study the problem of data propagation in sensor networks, comprised of a large number of very small and low-cost nodes, capable of sensing, communicating and computing. The dis...
Ioannis Chatzigiannakis, Tassos Dimitriou, Sotiris...
245
Voted
DCC
2011
IEEE
14 years 8 months ago
Robust Learning of 2-D Separable Transforms for Next-Generation Video Coding
With the simplicity of its application together with compression efficiency, the Discrete Cosine Transform(DCT) plays a vital role in the development of video compression standar...
Osman Gokhan Sezer, Robert A. Cohen, Anthony Vetro
155
Voted
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
13 years 4 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang