Essays about: "Learning Vector Quantization"

Found 4 essays containing the words Learning Vector Quantization.

  1. 1. Adaptive Energy Management Strategies for Series Hybrid Electric Wheel Loaders

    University essay from Linköpings universitet/Fordonssystem; Linköpings universitet/Fordonssystem

    Author : Carolina Pahkasalo; André Sollander; [2020]
    Keywords : A-ECMS; ECMS; Equivalent Consumption Minimization Strategy; Dynamic Programming; Hybrid Electric Wheel Loader; Pattern Recognition; Machine Learning; Neural Networks; Learning Vector Quantization; Optimal Control;

    Abstract : An emerging technology is the hybridization of wheel loaders. Since wheel loaders commonly operate in repetitive cycles it should be possible to use this information to develop an efficient energy management strategy that decreases fuel consumption. READ MORE

  2. 2. Unsupervised Audio Spectrogram Compression using Vector Quantized Autoencoders

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Amund Hansen Vedal; [2019]
    Keywords : ;

    Abstract : Despite the recent successes of neural networks in a variety of domains, musical audio modeling is still considered a hard task, with features typically spanning tens of thousands of dimensions in input space. By formulating audio data compression as an unsupervised learning task, this project investigates the applicability of vector quantized neural network autoencoders for compressing spectrograms – image-like representations of audio. READ MORE

  3. 3. Adding temporal plasticity to a self-organizing incremental neural network using temporal activity diffusion

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Emil Lundberg; [2015]
    Keywords : ANN; artificial neural network; SOINN; SOTPAR; SOTPAR2; prediction; spatio-temporal pattern detection; temporal activity diffusion; pattern recognition; unsupervised learning; vector quantization; ANN; artificiellt neuralt nätverk; artificiella neurala nätverk; SOINN; SOTPAR; SOTPAR2; förutsägelse; spatio-temporal mönsterdetekion; temporal aktivitetsdiffusion; mönsterigenkänning; oövervakad inlärning; vektorkvantisering;

    Abstract : Vector Quantization (VQ) is a classic optimization problem and a simple approach to pattern recognition. Applications include lossy data compression, clustering and speech and speaker recognition. READ MORE

  4. 4. Color Segmentation using LVQ-Learning Vector Quantization

    University essay from Högskolan Dalarna/Datateknik

    Author : Hussain Jabbar; [2010]
    Keywords : Color; RGB; HSV; Hue; Saturation; Pixel; Matrix; MATLAB; LVQ.;

    Abstract : This thesis aims to present a color segmentation approach for traffic sign recognition based on LVQ neural networks. The RGB images were converted into HSV color space, and segmented using LVQ depending on the hue and saturation values of each pixel in the HSV color space. READ MORE