Results 81 to 90 of about 9,834 (275)
Divergence-Based Vector Quantization
Supervised and unsupervised vector quantization methods for classification and clustering traditionally use dissimilarities, frequently taken as Euclidean distances.
Thomas Villmann, Sven Haase
core +1 more source
Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson +3 more
wiley +1 more source
Arabic Character Recognition Using Learning Vector Quantization [PDF]
Arabic character recognition should be research again. Arabic character have 28 characters with 4 different positions in sentence, then Arabic character has 28-100 characters.
Anggraini, Keumala, Handayani, Lestari
core
A Memristor‐Based In‐Memory Computing System‐on‐Chip with Efficient Depthwise Convolution
We present a memristor‐based in‐memory computing (IMC) architecture that enables efficient depthwise convolution (DWC) acceleration. Fabricated in a system‐on‐chip with crossbar arrays, the design improves memory utilization. Experimental validation demonstrates the first hardware acceleration of DWC in IMC, achieving a digital comparable inference ...
Wenhao Song +21 more
wiley +1 more source
Diagnosa Penyakit dengan Gejala Demam Menggunakan Learning Vector Quantization (LVQ)
Terdapat beberapa penyakit dengan gejala demam yang sulit untuk dibedakan yaitu Demam tifoid (tifus), Demam berdarah dengue (DBD), dan Malaria. Kesulitan dalam mendeteksi lebih awal ketiga penyakit ini karena memiliki gejala klinis yang hampir sama ...
Dian Eka Ratnawati, Marji Marji
doaj +1 more source
Fuzzy Classification Using Self-Organizing Map and Learning Vector Quantization
Fuzzy classification proposes an approach to solve uncertainty problem in classification tasks. It assigns an instance to more than one class with different degrees instead of a definite class by crisp classification.
Chen N +2 more
core
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis +5 more
wiley +1 more source
Using of Learning Vector Quantization Network for Pan Evaporation Estimation
A modern technique is presented to study the evaporation process which is considered as an important component of the hydrological cycle. The Pan Evaporation depth is estimated depending upon four metrological factors viz. (temperature, relative humidity,
Kamel A. Abdulmuhsin +1 more
doaj +1 more source
Large margin vector quantization
In this paper we describe the Large Margin Vector Quantization algorithm (LMVQ), which uses gradient ascent to maximise the margin of a radial basis function classifier.
Geva, Shlomo, Buckingham, Lawrence I.
core

