Essays about: "convolutions"
Showing result 1 - 5 of 25 essays containing the word convolutions.
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1. The Winograd Convolution Method
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : The convolution operation is a powerful tool which is widely used in many disciplines.Lately is has seen much use in the area of computer vision, particularly with convolutionalneural networks. For these use cases, convolutions need to be run repeatedly many timeswhich necessitates specialized hardware. READ MORE
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2. Imitation Learning on Branching Strategies for Branch and Bound Problems
University essay from KTH/Matematisk statistikAbstract : A new branch of machine and deep learning models has evolved in constrained optimization, specifically in mixed integer programming problems (MIP). These models draw inspiration from earlier solver methods, primarily the heuristic, branch and bound. READ MORE
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3. Unsupervised Anomaly Detection in Multivariate Time Series Using Variational Autoencoders
University essay from Lunds universitet/Matematik LTHAbstract : In this master’s thesis, a novel unsupervised anomaly detection tool was developed in collaboration with Sandvik Rock Processing to assist engineers and experts in analyzing large amounts of sensor data from cone crushers used in the stone crushing industry. The tool focuses on analyzing power, pressure, and CSS sensor data. READ MORE
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4. AATrackT: A deep learning network using attentions for tracking fast-moving and tiny objects : (A)ttention (A)ugmented - (Track)ing on (T)iny objects
University essay from Jönköping University/JTH, Avdelningen för datavetenskapAbstract : Recent advances in deep learning have made it possible to visually track objects from a video sequence. Moreover, as transformers got introduced in computer vision, new state-of-the-art performances were achieved in visual tracking. READ MORE
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5. Diffusion Models for Video Prediction and Infilling : Training a conditional video diffusion model for arbitrary video completion tasks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : To predict and anticipate future outcomes or reason about missing information in a sequence is a key ability for agents to be able to make intelligent decisions. This requires strong temporally coherent generative capabilities. READ MORE