Results 11 to 20 of about 5,592,166 (367)
Noise Suppression by Noise [PDF]
We have analyzed the interplay between an externally added noise and the intrinsic noise of systems that relax fast towards a stationary state, and found that increasing the intensity of the external noise can reduce the total noise of the system. We have established a general criterion for the appearance of this phenomenon and discussed two examples ...
Vilar, J. M. G. (José M. G.), 1972-+1 more
openaire +8 more sources
We show that when the gravitational field is treated quantum-mechanically, it induces fluctuations — noise — in the lengths of the arms of gravitational wave detectors. The characteristics of the noise depend on the quantum state of the gravitational field and can be calculated exactly in several interesting cases.
Parikh, M, Wilczek, Frank, Zahariade, G
openaire +6 more sources
We introduce noisy information in the determination of stock prices. Agents receive a noisy signal about the structural shock driving future dividend variations. The resulting equilibrium stock price includes a transitory component { the \noise bubble" { which can be responsible for boom and bust episodes unrelated to economic fundamentals.
Forni, Mario+3 more
openaire +8 more sources
We introduce Noise Recycling, a method that substantially enhances decoding performance of orthogonal channels subject to correlated noise without the need for joint encoding or decoding. The method can be used with any combination of codes, code-rates and decoding techniques.
Cohen, Alejandro+3 more
openaire +7 more sources
Life Monza: project description and actions’ updating [PDF]
The introduction of Low Emission Zones, urban areas subject to road traffic restrictions in order to ensure compliance with the air pollutants limit values set by the European Directive on ambient air quality (2008/50/EC), is a common and well ...
Antonio, Fasanella+14 more
core +1 more source
Probabilistic End-To-End Noise Correction for Learning With Noisy Labels [PDF]
Deep learning has achieved excellent performance in various computer vision tasks, but requires a lot of training examples with clean labels. It is easy to collect a dataset with noisy labels, but such noise makes networks overfit seriously and ...
Kun Yi, Jianxin Wu
semanticscholar +1 more source
We study the attitude of decision makers to skewed noise. For a binary lottery that yields the better outcome with probability p, we identify noise around p with a compound lottery that induces a distribution over the exact value of the probability and has an average value p.
David Dillenberger, Uzi Segal
openaire +4 more sources
LIFE+2010 QUADMAP Project: results obtained from the analysis of data collected during the application of the new methodology to the pilot quiet areas [PDF]
Since the 90s, quiet areas have commonly been considered as places to be acoustically preserved or where acoustic interventions should be implemented to reduce noise levels.
Aspuru, Itziar+7 more
core +2 more sources
Robust Loss Functions under Label Noise for Deep Neural Networks [PDF]
In many applications of classifier learning, training data suffers from label noise. Deep networks are learned using huge training data where the problem of noisy labels is particularly relevant.
Aritra Ghosh, Himanshu Kumar, P. Sastry
semanticscholar +1 more source