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Spatial Patterns of Subprime Mortgages by Local Banks, Nonlocal Banks, and Independents in the Continental US [PDF]

Environment and Planning A: Economy and Space, 2011
Mortgage innovations and New Deal agencies facilitated lower priced loans for prime borrowers and minimum price disparities across US regions. In the 1980s deregulation removed price restrictions on banks' mortgages and also removed geographic distance restrictions on lending, opening the subprime industry.
Howard S Tenenbaum, Nigel M Waters
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AutoEncoder Filter Bank Common Spatial Patterns to Decode Motor Imagery From EEG

IEEE Journal of Biomedical and Health Informatics, 2023
The present paper introduces a novel method, named AutoEncoder-Filter Bank Common Spatial Patterns (AE-FBCSP), to decode imagined movements from electroencephalography (EEG). AE-FBCSP is an extension of the well-established FBCSP and is based on a global (cross-subject) and subsequent transfer learning subject-specific (intra-subject) approach. A multi-
Nadia Mammone, Cosimo Ieracitano, Hojjat Adeli, Francesco Carlo Morabito   +3 more
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Spatial Pattern Analysis of Banking Industry in Urban Area of Shanghai

2009 International Conference on Management and Service Science, 2009
Maolin Zhang
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Seed bank spatial pattern in a temperate secondary forest

Journal of Vegetation Science, 2002
Abstract. Seed bank spatial pattern was studied in a secondary forest dominated by Fagus sylvatica and Betula celtiberica in the Urkiola Natural Park (N Spain). Soil samples were taken every 2 m in a regular grid (196 points) and divided into two fractions (0–3 cm and 3–10 cm deep). The viable seed bank was studied by monitoring seedling emergence for
J.M. Olano, I. Caballero, N.A. Laskurain, J. Loidi, A. Escudero   +4 more
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Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008
In motor imagery-based brain computer interfaces (BCI), discriminative patterns can be extracted from the electroencephalogram (EEG) using the common spatial pattern (CSP) algorithm. However, the performance of this spatial filter depends on the operational frequency band of the EEG.
Kai Keng Ang, Zhengyang Chin, Haihong Zhang, Cuntai Guan   +3 more
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Spatial Pattern Analysis of Weed Seeds in the Cultivated Soil Seed Bank

The Journal of Applied Ecology, 1991
(1) Spatial pattern of weeds was analysed in an arable-soil seed bank after winter barley. Three hundred samples were taken in a 7-5 x 10m area. Three indices of dispersion (variance-to-mean ratio, Lloyd's mean crowding and Lloyd's patchiness) and the Moran's I statistic of spatial autocorrelation were calculated.
Dessaint, Fabrice, Chadoeuf, R., Barralis, Gilbert   +2 more
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Simultaneous Design of FIR Filter Banks and Spatial Patterns for EEG Signal Classification

IEEE Transactions on Biomedical Engineering, 2013
The spatial weights for electrodes called common spatial pattern (CSP) are known to be effective in EEG signal classification for motor imagery-based brain-computer interface (MI-BCI). To achieve accurate classification in CSP, it is necessary to find frequency bands that relate to brain activities associated with BCI tasks.
Hiroshi Higashi, Toshihisa Tanaka 0001
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Spatial patterns of benthic megahabitats and conservation planning in the Abrolhos Bank

Continental Shelf Research, 2013
Abstract Application of sidescan sonar at the regional scale of the Abrolhos Bank, with ground-truthing by remotely operated vehicles and mixed-gas diving operations, revealed a much more complex habitat mosaic than previously recognized. The regional benthic habitat map indicates 8844 km2 of reefs (earlier estimates from remote sensing were around ...
Rodrigo Leão Moura, Nélio Augusto Secchin, Gilberto Menezes Amado-Filho, Ronaldo Bastos Francini-Filho, Matheus Oliveira Freitas, Carolina Viviana Minte-Vera, João Batista Teixeira, Fabiano Lopes Thompson, Guilherme Fraga Dutra, Paulo Yukio Gomes Sumida, Arthur Zigliatti Guth, Rubens Mendes Lopes, Alex Cardoso Bastos   +12 more
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Riemannian Embedding Banks for Common Spatial Patterns with EEG-based SPD Neural Networks

Proceedings of the AAAI Conference on Artificial Intelligence, 2021
Modeling non-linear data as symmetric positive definite (SPD) matrices on Riemannian manifolds has attracted much attention for various classification tasks. In the context of deep learning, SPD matrix-based Riemannian networks have been shown to be a promising solution for classifying electroencephalogram (EEG) signals, capturing the Riemannian ...
Yoon-Je Suh, Byung Hyung Kim
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