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» On the Processing of Decimated Signals
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ICRA
2010
IEEE
137views Robotics» more  ICRA 2010»
13 years 9 months ago
Robot reinforcement learning using EEG-based reward signals
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...
Iñaki Iturrate, Luis Montesano, Javier Ming...
ICCAD
2001
IEEE
100views Hardware» more  ICCAD 2001»
14 years 7 months ago
Coupled Analysis of Electromigration Reliability and Performance in ULSI Signal Nets
In deep submicron VLSI circuits, interconnect reliability due to electromigration and thermal effects is fast becoming a serious design issue particularly for long signal lines. T...
Kaustav Banerjee, Amit Mehrotra
NN
2006
Springer
13 years 10 months ago
Propagation and control of stochastic signals through universal learning networks
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
Kotaro Hirasawa, Shingo Mabu, Jinglu Hu
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
14 years 11 months ago
Belief state approaches to signaling alarms in surveillance systems
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
Kaustav Das, Andrew W. Moore, Jeff G. Schneider
ISBI
2009
IEEE
14 years 5 months ago
Tunable Tensor Voting for Regularizing Punctate Patterns of Membrane-Bound Protein Signals
Membrane-bound protein, expressed in the basal-lateral region, is heterogeneous and an important endpoint for understanding biological processes. At the optical resolution, membra...
Leandro A. Loss, George Bebis, Bahram Parvin