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» On the Complexity of Function Learning
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TRIDENTCOM
2010
IEEE
15 years 5 months ago
G-Lab Deep: Cross-Layer Composition and Security for a Flexible Future Internet
The Internet enables the way how global businesses and communities communicate today. In the last years, however, new demands have collided with old designs, resulting in a complex...
Carsten Schmoll, Christian Henke, Dirk Hoffstadt, ...
238
Voted
BMCBI
2010
131views more  BMCBI 2010»
15 years 2 months ago
Dynamics based alignment of proteins: an alternative approach to quantify dynamic similarity
Background: The dynamic motions of many proteins are central to their function. It therefore follows that the dynamic requirements of a protein are evolutionary constrained. In or...
Márton Münz, Rune B. Lyngsø, Jo...
TCAD
2010
150views more  TCAD 2010»
15 years 2 months ago
Voltage and Temperature Aware Statistical Leakage Analysis Framework Using Artificial Neural Networks
Artificial neural networks (ANNs) have shown great promise in modeling circuit parameters for computer aided design applications. Leakage currents, which depend on process paramete...
Janakiraman Viraraghavan, Bharadwaj Amrutur, V. Vi...
TOG
2012
230views Communications» more  TOG 2012»
13 years 10 months ago
Decoupling algorithms from schedules for easy optimization of image processing pipelines
Using existing programming tools, writing high-performance image processing code requires sacrificing readability, portability, and modularity. We argue that this is a consequenc...
Jonathan Ragan-Kelley, Andrew Adams, Sylvain Paris...
CVPR
2006
IEEE
16 years 9 months ago
Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video
Recently, the generative modeling approach to video segmentation has been gaining popularity in the computer vision community. For example, the flexible sprites framework has been...
Nebojsa Jojic, John M. Winn, Larry Zitnick
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