Energy‐Efficient Online Training with In Situ Parallel Computing on Electrochemical Memory Arrays
Advanced Intelligent Systems, EarlyView.By leveraging the intrinsic functionalities of electrochemical random‐access memory, the conductance response to pulse amplitude and quantity enables stochastic multiplication and parallel outer‐product operations between two vectors. This approach significantly accelerates weight gradient computations while reducing time complexity, latency, and ...
Yingming Lu +7 more
wiley +1 more source
Vector quantization for volume rendering [PDF]
, 1992 Paul Ning, Lambertus Hesselink
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A Periodic Error Correction Method for Terahertz Coded‐Aperture Imaging
Advanced Intelligent Systems, EarlyView.A physics‐constrained unsupervised learning framework with periodic error correction is proposed for terahertz coded‐aperture imaging. The method improves reconstruction robustness against noise and model mismatch, while reducing reliance on large‐scale labeled data.
Hongxu Wu +8 more
wiley +1 more source
Deteksi Penyakit Diabetes Retinopati Pada Retina Mata Berdasarkan Pengolahan Citra
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2017 Diabetic Retinopathy is a disease that strikes the retina of the eye in patients who have diabetes mellitus. Medical examination against sufferers of Diabetic Retinopathy is done with observation directly by eye surgeons. In this case, eye retinal images
Adri Pramana Putra Putra +2 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.The first biometric framework to harness dynamic time warping (DTW) for single‐channel diaphragmatic surface electromyography authentication via post‐hoc alignment is presented. By optimally warping deep–normal–deep breath cycles, DTW achieves perfect genuine–impostor separation (equal error rates = 0%), while a parallel adaptive neuro‐fuzzy inference ...
Beyza Eraslan +2 more
wiley +1 more source
An efficient memory reserving-and-fading strategy for vector quantization based 3D brain segmentation and tumor extraction using an unsupervised deep learning network. [PDF]
Cogn Neurodyn, 2023 De A, Wang X, Zhang Q, Wu J, Cong F.
europepmc +1 more source
Voltage‐Summation‐Based Compute‐in‐Memory Technology with Capacitive Synaptic Devices
Advanced Intelligent Systems, EarlyView.Compute‐in‐memory (CIM) technologies leveraging capacitive coupling offer significant advantages in energy efficiency and IR‐drop elimination. This work introduces voltage‐summation‐based CIM technology, employing capacitive synaptic devices for matrix–vector multiplication.
Jung Nam Kim +8 more
wiley +1 more source
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
doaj +1 more source
Self-incremental learning vector quantization with human cognitive biases. [PDF]
Sci Rep, 2021 Manome N +4 more
europepmc +1 more source
Image coding using entropy-constrained residual vector quantization [PDF]
, 1995 F. Kossentini +2 more
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