Results 21 to 30 of about 1,624,283 (243)
Perceptron-Like Large Margin Classifiers [PDF]
, 2007 We address the problem of binary linear classification with emphasis on algorithms that lead to separation of the data with large margins. We motivate large margin classification from statistical learning theory and review two broad categories of large ...
Tsampouka, Petroula
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Zhejiang dianliTo ensure stable operation of thermal power plants and reduce false transitions caused by signal interference in digital input （DI） channels， this paper investigates the rationality of DI thresholds in distributed control systems （DCS） currently in ...
WANG Qi +3 more
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Analysis of marginal ice zone noise events [PDF]
The Journal of the Acoustical Society of America, 1988 Underwater ambient noise data from MIZEX 84 were examined and transient noise events were detected and studied. Event locations were determined and their peak values used to calculate the source strength based on a simple vertical dipole model. The results indicate that the source strength is about the same order of magnitude as the strength of sources
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MATEC Web of Conferences, 2017 As sensor applications combined with wireless network becoming more of an everyday applications, the optimal deployment becomes ever increasing important as that would be a key important factor in the trade-off between cost and link quality.
Harun A. +7 more
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Marginal Noise Reduction in Historical Handwritten Documents -- A Survey [PDF]
2016 12th IAPR Workshop on Document Analysis Systems (DAS), 2016 This paper presents a survey on different approaches for removing the marginal noise from document images, and anlaysing the research challenges of those methods relating to handwritten historical datasets. In this survey, historical documents collected from Australian Archives and Libraries are introduced and the associated layout complexities of ...
Arpita Chakraborty, Michael Blumenstein
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A Memristor as Multi-Bit Memory: Feasibility Analysis [PDF]
Radioengineering, 2015 The use of emerging memristor materials for advanced electrical devices such as multi-valued logic is expected to outperform today's binary logic digital technologies.
O. Bass, A. Fish, D. Naveh
doaj
Current Directions in Biomedical Engineering, 2023 The AUC margin loss is a valuable loss function for medical image classification as it addresses the problems of imbalanced and noisy labels. It is used by the current winner of the CheXpert competition.
Ihler Sontje, Kuhnke Felix
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Noise-adaptive Margin-based Active Learning and Lower Bounds under Tsybakov Noise Condition
, 2018 We present a polynomial-time noise-robust margin-based active learning algorithm to find homogeneous (passing the origin) linear separators and analyze its statistical rate of error convergence when labels are corrupted by noise.
Aarti Singh (5358575) +1 more
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VARIABILITY ANALYSIS OF 6T AND 7T SRAM CELL IN SUB-45NM TECHNOLOGY
International Islamic University Malaysia Engineering Journal, 2011 This paper analyses standard 6T and 7T SRAM (static random access memory) cell in light of process, voltage and temperature (PVT) variations to verify their functionality and robustness.
Aminul Islam, Mohd. Hasan
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Seismic exploration noise reduction in the Marginal Ice Zone [PDF]
The Journal of the Acoustical Society of America, 2014 A sonobuoy field was deployed in the Marginal Ice Zone of the Fram Strait in June 2011 to study the spatial variability of ambient noise. High noise levels observed at 10–200 Hz are attributed to distant (1400 km range) seismic exploration. The noise levels decreased with range into the ice cover; the reduction is fitted by a spreading loss model with ...
Dag, Tollefsen, Hanne, Sagen
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