Essays about: "model encoding"

Showing result 1 - 5 of 89 essays containing the words model encoding.

  1. 1. Where to Fuse

    University essay from Lunds universitet/Matematisk statistik

    Author : Lukas Petersson; [2024]
    Keywords : Technology and Engineering;

    Abstract : This thesis investigates fusion techniques in multimodal transformer models, focusing on enhancing the capabilities of large language models in understanding not just text, but also other modalities like images, audio, and sensor data. The study compares late fusion (concatenating modality tokens after separate encoding) and early fusion (concatenating before encoding) techniques, examining their respective advantages and disadvantages. READ MORE

  3. 2. 'In the moment' : A cross-linguistic exploration of the lexical concept [MOMENT]

    University essay from Stockholms universitet/Avdelningen för allmän språkvetenskap

    Author : Arthur Mannheimer; [2023]
    Keywords : moment; lexical typology; lexical concept; cognitive model; semantic shift; now;

    Abstract : Lexical typological studies examine how various languages express similar concepts. Previous research has discussed how the concept of moment is encoded lexically in English, Ancient Greek, and Ancient Egyptian. However, there are no cross-linguistic studies to date that collect data on the lexical expressions associated with the concept of moment. READ MORE

  4. 3. Regression with Bayesian Confidence Propagating Neural Networks

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

    Author : Raghav Rajendran Bongole; [2023]
    Keywords : Machine Learning; Neural Networks; Brain-like computing; Bayesian Confidence Propagating Neural Networks; Maskininlärning; neurala nätverk; hjärnliknande datorer; Bayesian Förtroendespridande neurala nätverk;

    Abstract : Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivity, and Hebbian learning. READ MORE

  5. 4. Channel Estimation Optimization in 5G New Radio using Convolutional Neural Networks

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : David Adolfsson; [2023]
    Keywords : Channel Estimation; 5G NR; CNN; Kanalestimering; 5G NR;

    Abstract : Channel estimation is the process of understanding and analyzing the wireless communication channel's properties. It helps optimize data transmission by providing essential information for adjusting encoding and decoding parameters. READ MORE

  6. 5. Visual Attention Guided Adaptive Quantization for x265 using Deep Learning

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

    Author : Mikaela Gärde; [2023]
    Keywords : video encoding; deep learning; visual attention; adaptive quantization; videokodning; djupinlärning; visuellt fokus; adaptiv kvantisering;

    Abstract : The video on demand streaming is raising drastically in popularity, bringing new challenges to the video coding field. There is a need for new video coding techniques that improve performance and reduce the bitrates. READ MORE