Self-incremental learning vector quantization with human cognitive biases. [PDF]
Sci Rep, 2021 Manome N +4 more
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Aspects in Classification Learning - Review of Recent Developments in Learning Vector Quantization
Foundations of Computing and Decision Sciences, 2014 .Classification is one of the most frequent tasks in machine learning. However, the variety of classification tasks as well as classifier methods is huge.
Kaden M. +5 more
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Pyramid Product Quantization for Approximate Nearest Neighbor Search
Applied SciencesProduct quantization (PQ) is a widely adopted technique for efficient approximate nearest neighbor (ANN) search in high-dimensional spaces, offering a favorable balance between accuracy and memory efficiency. However, standard PQ suffers from high online
Yang Wang +3 more
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Learning vector quantization as an interpretable classifier for the detection of SARS-CoV-2 types based on their RNA sequences. [PDF]
Neural Comput Appl, 2022 Kaden M +6 more
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A self-organizing world: special issue of the 13th edition of the workshop on self-organizing maps and learning vector quantization, clustering and data visualization, WSOM + 2019. [PDF]
Neural Comput Appl, 2022 Vellido A, Angulo C, Gibert K.
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IEEE AccessThis paper introduces a method for real-time speech coding that combines a binary-latent-vector variational recurrent neural network for mel-spectrogram coding with a non-autoregressive convolutional vocoder for waveform reconstruction. To enable bitrate
Benjamin Stahl +2 more
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Multipose Face Recognition-Based Combined Adaptive Deep Learning Vector Quantization. [PDF]
Comput Intell Neurosci, 2020 Sarhan S, Nasr AA, Shams MY.
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Prototype-Based Classifiers and Vector Quantization on a Quantum Computer-Implementing Integer Arithmetic Oracles for Nearest Prototype Search. [PDF]
Entropy (Basel)Engelsberger A +2 more
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