Essays about: "convolution"
Showing result 11 - 15 of 127 essays containing the word convolution.
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11. Robust Multi-Modal Fusion for 3D Object Detection : Using multiple sensors of different types to robustly detect, classify, and position objects in three dimensions.
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The computer vision task of 3D object detection is fundamentally necessary for autonomous driving perception systems. These vehicles typically feature a multitude of sensors, such as cameras, radars, and light detection and ranging sensors. READ MORE
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12. Sentence based risk classifier using NLP and machine learning
University essay from Högskolan i HalmstadAbstract : This project was inspired by the company Dizparc and has a focus onclassification systems together with certain applications of natural languageprocessing. Classification systems are a very extensively researched areadating back to the latter half of the 1900s with multiple different ways of theproblems presented up until its more modern takes in today’s age. READ MORE
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13. Designing Effective Derivative Line Filters: Utilizing convolution to extract extra information
University essay from KTH/Matematik (Avd.)Abstract : The ability to generate accurate approximations of derivatives holds significant importance in numerous scientific fields, including chemistry, economics and fluid mechanics. This thesis is centred around extracting hidden information in data using Smoothness-Increasing Accuracy-Conserving (SIAC) filters. READ MORE
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14. Deep convolution neural network for attention decoding in multi-channel EEG with conditional variational autoencoder for data augmentation
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Objectives: This project aims to develop a deep learning-based attention decoding system that can distinguish between noise and speech in noise and also identify the direction of attended speech from the brain data recorded with electroencephalography (EEG) instruments. Two deep convolutional neural network (DCNN) models will be designed: (1) one DCNN model capable of classifying incoming segments of sound as speech or speech in background noise, and (2) one DCNN model identifying the direction (left vs. READ MORE
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15. A General Purpose Near Data Processing Architecture Optimized for Data-intensive Applications
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : In recent years, as Internet of Things (IoT) and machine learning technologies have advanced, there has been increasing interest in the study of energy-efficient and flexible architectures for embedded systems. To bridge the performance gap between microprocessors and memory systems, Near-Data Processing (NDP) was introduced. READ MORE