Essays about: "datakompression"
Showing result 1 - 5 of 7 essays containing the word datakompression.
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1. Quantum Algorithms for Feature Selection and Compressed Feature Representation of Data
University essay from KTH/FysikAbstract : Quantum computing has emerged as a new field that may have the potential to revolutionize the landscape of information processing and computational power, although physically constructing quantum hardware has proven difficult,and quantum computers in the current Noisy Intermediate Scale Quantum (NISQ) era are error prone and limited in the number of qubits they contain.A sub-field within quantum algorithms research which holds potential for the NISQ era, and which has seen increasing activity in recent years, is quantum machine learning, where researchers apply approaches from classical machine learning to quantum computing algorithms and explore the interplay between the two. READ MORE
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2. Tests of Autoencoder Compression of Trigger Jets in the ATLAS Experiment
University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenAbstract : Limited data storage capability is a large obstacle for saving data in high energy particle physics. One method of partially circumventing these limitations, is trigger level analysis (TLA) as used by the ATLAS experiment. The efficiency of TLA can be further increased by doing effective data compression. READ MORE
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3. Impact of Video Compression on the Performance of Object Detection Algorithms in Automotive Applications
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The aim of this study is to generally expose the impact of using video compression methods on the performance accuracy of a neural network-based pedestrian detection system. Moreover, the emphasis is on investigating the consequences of using both compressed training and testing images with such neural network applications. READ MORE
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4. Adding temporal plasticity to a self-organizing incremental neural network using temporal activity diffusion
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)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
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5. Efficient K-means clustering and the importanceof seeding
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : Data clustering is the process of grouping data elements based on some aspect of similarity between the elements in the group. Clustering has many applications such as data compression, data mining, pattern recognition and machine learning and there are many different clustering methods. READ MORE
