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Efficient FPGA implementation for sound source separation using direction-informed multichannel non-negative matrix factorization
Sound source separation (SSS) is a fundamental problem in audio signal processing, aiming to recover individual audio sources from a given mixture. A...
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Dynamic Parameter Estimation for Mixtures of Plackett-Luce Models
Traditional parameter estimation algorithms rely on static datasets whose data remain constant during program execution. However, in the real-world...
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Human pose estimation based on lightweight basicblock
Human pose estimation based on deep learning have attracted increasing attention in the past few years and have shown superior performance on various...
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Sparse Adaptive Channel Estimation Based on Multi-kernel Correntropy
The communication channel estimation between unmanned systems has always been a concern of researchers, especially the channel estimation of...
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An overview of mixing augmentation methods and augmentation strategies
Deep Convolutional Neural Networks have made an incredible progress in many Computer Vision tasks. This progress, however, often relies on the...
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A scaled dirichlet-based predictive model for occupancy estimation in smart buildings
In this study, we introduce a predictive model leveraging the scaled Dirichlet mixture model (SDMM). This data-driven approach offers enhanced...
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Hyperplane patch mixing-and-folding decoder and weighted chamfer distance loss for 3D point set reconstruction
3D point set reconstruction is an important and challenging 3D shape analysis task. Current state-of-the-art algorithms for 3D point set...
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SwinDTI: swin transformer-based generalized fast estimation of diffusion tensor parameters from sparse data
Diffusion tensor imaging (DTI) is a non-invasive technique for analyzing the movement of water in the brain. However, the precision of measurements...
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A spectral method to detect community structure based on Coulomb’s matrix
Community detection based on spectral clustering has been proved effective. However, spectral clustering is more challenging due to two significant...
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Exploiting Approximate Joint Diagonalization for Covariance Estimation in Imagined Speech Decoding
Recently, imagined speech has become a subject of study due to its potential as an intuitive communication system. It involves registering neural...
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Cauchy balanced nonnegative matrix factorization
Nonnegative Matrix Factorization (NMF) plays an important role in many data mining and machine learning tasks. Standard NMF uses the Frobenius norm...
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Deep Gaussian mixture model based instance relevance estimation for multiple instance learning applications
Multiple instance learning (MIL) is a type of supervised learning, where instead of receiving a collection of individually labeled examples, the...
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Efficient parallel kernel based on Cholesky decomposition to accelerate multichannel nonnegative matrix factorization
Multichannel source separation has been a popular topic, and recently proposed methods based on the local Gaussian model have provided promising...
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Estimation of Overfitting Degree of Algebraic Machine Learning in Boolean Algebra
The paper presents an estimation of overfitting probability for VKF-method of algebraic machine learning in the simplest case of Boolean algebra...
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Gene-pool Optimal Mixing in Cartesian Genetic Programming
Genetic Programming (GP) can make an important contribution to explainable artificial intelligence because it can create symbolic expressions as...
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A novel framework for under-determined blind source separation based on adaptive source counting using mixed linear and circular data clustering algorithm for low latency applications
Underdetermined Blind Source Separation (UBSS) refers to a general class of signal processing algorithms, aiming to recover the underlying source...
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Enhancing multi-scale information exchange and feature fusion for human pose estimation
Multi-scale feature fusion is an important part of modern network architectures to extract more comprehensive information for most computer vision...
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A compact MIMO automotive radar using phase-aligned daisy-chain cascading topology and elevation compensation for 2D angle estimation
To design a high-performance multiple-input multiple-output (MIMO) automotive radar system with simple hardware architecture, this study presents a...
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One-shot Face Reenactment with Dense Correspondence Estimation
One-shot face reenactment is a challenging task due to the identity mismatch between source and driving faces. Most existing methods fail to...
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An interval type-2 fuzzy edge detection and matrix coding approach for color image adaptive steganography
This paper proposes an adaptive color image steganography technique based on edge detection and matrix coding, by comprehensively considering the...
