Essays about: "Feature Extraction"
Showing result 11 - 15 of 311 essays containing the words Feature Extraction.
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11. PVCFA: Principal Variation Context Feature Attribution : Distributed Chess for Perturbation-based Saliency Maps
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The research and development field of computer chess improved more in the last 5 years than in the whole history of computers. Unfortunately these unprecedented results comes with techniques that don’t leave much space to intuition and comprehensibility for humans. READ MORE
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12. Image Colorization Based on Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the development of artificial intelligence, there is a clear trend to combine computer technology with traditional industries. In recent years, with the development of digital media technology, many methods for coloring gray-scale images have been proposed. READ MORE
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13. Industrial 3D Anomaly Detection and Localization Using Unsupervised Machine Learning
University essay from Linköpings universitet/DatorseendeAbstract : Detecting defects in industrially manufactured products is crucial to ensure their safety and quality. This process can be both expensive and error-prone if done manually, making automated solutions desirable. READ MORE
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14. Deep Learning-Driven EEG Classification in Human-Robot Collaboration
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Human-robot collaboration (HRC) occurs when people and robots work together in a shared environment. Current robots often use rigid programs unsuitable for HRC. Multimodal robot programming offers an easier way to control robots using inputs like voice and gestures. READ MORE
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15. Exploring the Use of Attention for Generation Z Fashion Style Recognition with User Annotations as Labels
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As e-commerce and online shopping have increased worldwide, the interest and research of intelligent fashion systems have expanded. Given the competitive nature of the fashion market business, digital marketplaces depend on determining customer preferences. READ MORE