Results 31 to 40 of about 489,349 (320)

Deterministic sparse FFT for M-sparse vectors [PDF]

open access: yesNumerical Algorithms, 2017
In this interesting paper, the authors present a new deterministic sparse (inverse) fast Fourier transform (FFT), where the resulting vector \(\mathbf x \in {\mathbb C}^N\) with \(N = 2^J\) is \(M\)-sparse, i.e., \(\mathbf x\) contains only \(M\) nonzero components. This new algorithm which generalizes the sparse FFT of \textit{G. Plonka} and \textit{K.
Gerlind Plonka   +3 more
openaire   +4 more sources

Sparse Transcription [PDF]

open access: yesComputational Linguistics, 2021
AbstractThe transcription bottleneck is often cited as a major obstacle for efforts to document the world’s endangered languages and supply them with language technologies. One solution is to extend methods from automatic speech recognition and machine translation, and recruit linguists to provide narrow phonetic transcriptions and sentence-aligned ...
openaire   +3 more sources

Deep Gated Hebbian Predictive Coding Accounts for Emergence of Complex Neural Response Properties Along the Visual Cortical Hierarchy

open access: yesFrontiers in Computational Neuroscience, 2021
Predictive coding provides a computational paradigm for modeling perceptual processing as the construction of representations accounting for causes of sensory inputs.
Shirin Dora   +4 more
doaj   +1 more source

Block-wise Dynamic Sparseness [PDF]

open access: yes, 2020
Neural networks have achieved state of the art performance across a wide variety of machine learning tasks, often with large and computation-heavy models.
Hadifar, Amir   +3 more
core   +1 more source

An Insightful Overview of the Wiener Filter for System Identification

open access: yesApplied Sciences, 2021
Efficiently solving a system identification problem represents an important step in numerous important applications. In this framework, some of the most popular solutions rely on the Wiener filter, which is widely used in practice.
Laura-Maria Dogariu   +3 more
doaj   +1 more source

Sparse Sparse Bundle Adjustment [PDF]

open access: yesProcedings of the British Machine Vision Conference 2010, 2010
Sparse Bundle Adjustment (SBA) is a method for simultaneously optimizing a set of camera poses and visible points. It exploits the sparse primary structure of the problem, where connections exist just between points and cameras. In this paper, we implement an efficient version of SBA for systems where the secondary structure (relations among cameras ...
openaire   +1 more source

Task-Related Synaptic Changes Localized to Small Neuronal Population in Recurrent Neural Network Cortical Models

open access: yesFrontiers in Computational Neuroscience, 2018
Humans have flexible control over cognitive functions depending on the context. Several studies suggest that the prefrontal cortex (PFC) controls this cognitive flexibility, but the detailed underlying mechanisms remain unclear.
Satoshi Kuroki   +2 more
doaj   +1 more source

Reverberation Suppression Method for Active Sonar Systems Using Non-Negative Matrix Factorization With Pre-Trained Frequency Basis Matrix

open access: yesIEEE Access, 2021
In active sonar systems, detection always suffers from reverberation interference from multiple scatterers in oceanic environments; therefore, numerous studies have been conducted on reverberation suppression.
Geunhwan Kim, Seokjin Lee
doaj   +1 more source

Adaptive regulation of sparseness by feedforward inhibition [PDF]

open access: yes, 2007
In the mushroom body of insects, odors are represented by very few spikes in a small number of neurons, a highly efficient strategy known as sparse coding.
Stopfer, Mark   +3 more
core   +2 more sources

Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization

open access: yesIEEE Access, 2018
Nonsmooth nonnegative matrix factorization (nsNMF) is capable of producing more localized, less overlapped feature representations than other variants of NMF while keeping satisfactory fit to data. However, nsNMF as well as other existing NMF methods are
Jinshi Yu   +3 more
doaj   +1 more source

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