Retinal spike train decoder using vector quantization for visual scene reconstruction
The retinal impulse signal is the basic carrier of visual information. It records the distribution of light on the retina. However, its direct conversion to a scene image is difficult due to the nonlinear characteristics of its distribution.
Kunwu Ma+5 more
doaj +1 more source
Retracted: Using an Optimized Learning Vector Quantization- (LVQ-) Based Neural Network in Accounting Fraud Recognition. [PDF]
Intelligence And Neuroscience C.
europepmc +1 more source
A VLSI chip set for real time vector quantization of image sequences [PDF]
R. L. Baker
openalex +1 more source
Video data compression using artificial neural network differential vector quantization [PDF]
An artificial neural network vector quantizer is developed for use in data compression applications such as Digital Video. Differential Vector Quantization is used to preserve edge features, and a new adaptive algorithm, known as Frequency-Sensitive ...
Ahalt, Stanley C.+2 more
core +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu+4 more
wiley +1 more source
Performance Evaluation of Some Selected Classification Algorithms in a Facial Recognition System
Facial Recognition (FR) has been an active area of research and has diverse applicable environment, it continues to be a challenging research topic. With the development of image processing and pattern recognition technology, there are many challenges ...
Michael Olumuyiwa Adio+4 more
doaj +1 more source
Electroencephalography (EEG) eye state classification using learning vector quantization and bagged trees. [PDF]
Nilashi M+7 more
europepmc +1 more source
Vector quantization of LPC parameters based on dynamical features of hearing [PDF]
S. Ono, T. Araseki
openalex +1 more source
Vector-Quantized Timbre Representation
Timbre is a set of perceptual attributes that identifies different types of sound sources. Although its definition is usually elusive, it can be seen from a signal processing viewpoint as all the spectral features that are perceived independently from pitch and loudness.
Bitton, Adrien+2 more
openaire +3 more sources