Essays about: "Object Classification"
Showing result 21 - 25 of 200 essays containing the words Object Classification.
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21. Deep neural networks for food waste analysis and classification : Subtraction-based methods for the case of data scarcity
University essay from Uppsala universitet/Signaler och systemAbstract : Machine learning generally requires large amounts of data, however data is often limited. On the whole the amount of data needed grows with the complexity of the problem to be solved. Utilising transfer learning, data augmentation and problem reduction, acceptable performance can be achieved with limited data for a multitude of tasks. READ MORE
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22. Importance sampling in deep learning : A broad investigation on importance sampling performance
University essay from Uppsala universitet/Artificiell intelligensAbstract : Available computing resources play a large part in enabling the training of modern deep neural networks to complete complex computer vision tasks. Improving the efficiency with which this computational power is utilized is highly important for enterprises to improve their networks rapidly. READ MORE
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23. Object classification in the simulation environment using ultrasonic sensor arrays
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : With the wide application of machine learning technologies in advanced driver assistance systems of vehicles, object classification on obstacles has attracted much attention. Ultrasonic sensors are mainly used to measure the distance to obstacles under the condition of low-speed movement. READ MORE
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24. Object Classification using Language Models
University essay from Uppsala universitet/Signaler och systemAbstract : In today’s modern digital world more and more emails and messengers must be sent, processed and handled. The categorizing and classification of these text pieces can take an incredibly long time and will cost the company a lot of time and money. READ MORE
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25. Segmentation, Classification and Tracking of Objects in LiDAR Point Cloud Data Using Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : The purpose of this thesis was to explore deep learning methods of segmentation, classification and tracking of objects in LiDAR data. To do this a complete pipeline was developed, consisting of background filtering, clustering, tracking, labeling and visualization. READ MORE