Results 271 to 280 of about 7,646,007 (306)
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The Spectral Method for General Mixture Models

SIAM Journal on Computing, 2005
We present an algorithm for learning a mixture of distributions based on spectral projection. We prove a general property of spectral projection for arbitrary mixtures and show that the resulting algorithm is efficient when the components of the mixture are logconcave distributions in $\Re^{n}$ whose means are separated.
Ravindran Kannan   +2 more
openaire   +2 more sources

Spectral Impulse Noise Model for Spectral Image Processing

2015
The performance of an image processing algorithm can be assessed through its resulting images. However, in order to do so, both ground truth image and noisy target image with known properties are typically required. In the context of hyperspectral image processing, another constraint is introduced, i.e.
Hilda Deborah   +2 more
openaire   +3 more sources

On the parallelization of global spectral weather models

Parallel Computing, 1994
The parallelization of global spectral semi-implicit shallow water models has been studied, with a full three-dimensional primitive equation model in mind. Different strategies have been considered and their scalar stability properties have been analysed.
Saulo R. M. Barros, Tuomo Kauranne
openaire   +3 more sources

Spectral modeling of longitudinal road profiles

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE), 2015
In this paper, for a quarter-car model, we derive covariance expressions for the MIRA spectrum and calculate the root-mean square outputs for the ISO 8608 classified roads. The derived results are compared with existing works in the literature. We carry out similar calculations for a line spectrum model.
Semiha Türkay, Hüseyin Akçay
openaire   +3 more sources

Spectral Generative Models for Graphs

14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007
David H. White 0001   +1 more
openaire   +1 more source

Bias-Adjusted Spectral Clustering in Multi-Layer Stochastic Block Models

Journal of the American Statistical Association, 2023
Jing Lei, Kevin Lin
exaly  

Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis

IEEE Geoscience and Remote Sensing Letters, 2021
Ricardo Borsoi   +2 more
exaly  

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Frontiers in Neuroscience, 2022
Srikantan Nagarajan   +2 more
exaly  

Improved Transient Data Compression Algorithm Based on Wavelet Spectral Quantization Models

IEEE Transactions on Power Delivery, 2020
Jorge Andrés Cormane Angarita   +2 more
exaly  

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