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AVI
2010
13 years 7 months ago
Seeing the self in the washing machine: the deep affordance of 2.0 philosophy in the household appliance domain
The acceleration of rhythm of everyday life requires efficiency and flexibility in daily routines. The real expectations and needs of people concerning intelligent home devices sh...
Caterina Calefato, Enrico Frumento, Monica Milani,...
VTS
2000
IEEE
167views Hardware» more  VTS 2000»
14 years 2 months ago
Path Selection for Delay Testing of Deep Sub-Micron Devices Using Statistical Performance Sensitivity Analysis
The performance of deep sub-micron designs can be affected by various parametric variations, manufacturing defects, noise or even modeling errors that are all statistical in natur...
Jing-Jia Liou, Kwang-Ting Cheng, Deb Aditya Mukher...
ECAI
2010
Springer
13 years 11 months ago
Unsupervised Layer-Wise Model Selection in Deep Neural Networks
Abstract. Deep Neural Networks (DNN) propose a new and efficient ML architecture based on the layer-wise building of several representation layers. A critical issue for DNNs remain...
Ludovic Arnold, Hélène Paugam-Moisy,...
INFOCOM
2009
IEEE
14 years 4 months ago
Variable-Stride Multi-Pattern Matching For Scalable Deep Packet Inspection
Abstract—Accelerating multi-pattern matching is a critical issue in building high-performance deep packet inspection systems. Achieving high-throughputs while reducing both memor...
Nan Hua, Haoyu Song, T. V. Lakshman
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 3 months ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber