Essays about: "Auto-Encoder"
Showing result 16 - 20 of 25 essays containing the word Auto-Encoder.
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16. Evaluation of machine learning methods for anomaly detection in combined heat and power plant
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the hope to increase the detection rate of faults in combined heat and power plant boilers thus lowering unplanned maintenance three machine learning models are constructed and evaluated. The algorithms; k-Nearest Neighbor, One-Class Support Vector Machine, and Auto-encoder have a proven track record in research for anomaly detection, but are relatively unexplored for industrial applications such as this one due to the difficulty in collecting non-artificial labeled data in the field. READ MORE
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17. Sketch to 3D Model using Generative Query Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : For digital artists and animators, translating an idea from a rough sketch to a 3D model is a time consuming process requiring a plethora of different software. In this work, a Generative Model which can directly generate images of 3D models from arbitrary view points by observing sketched 2D images is presented. READ MORE
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18. Latent Task Embeddings forFew-Shot Function Approximation
University essay from KTH/Optimeringslära och systemteoriAbstract : Approximating a function from a few data points is of great importance in fields where data is scarce, like, for example, in robotics applications. Recently, scalable and expressive parametric models like deep neural networks have demonstrated superior performance on a wide variety of function approximation tasks when plenty of data is available –however, these methods tend to perform considerably worse in low-data regimes which calls for alternative approaches. READ MORE
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19. Modelling user interaction at scale with deep generative methods
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Understanding how users interact with a company's service is essential for data-driven businesses that want to better cater to their users and improve their offering. By using a generative machine learning approach it is possible to model user behaviour and generate new data to simulate or recognize and explain typical usage patterns. READ MORE
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20. Unsupervised Anomaly Detection on Multi-Process Event Time Series
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Establishing whether the observed data are anomalous or not is an important task that has been widely investigated in literature, and it becomes an even more complex problem if combined with high dimensional representations and multiple sources independently generating the patterns to be analyzed. The work presented in this master thesis employs a data-driven pipeline for the definition of a recurrent auto-encoder architecture to analyze, in an unsupervised fashion, high-dimensional event time-series generated by multiple and variable processes interacting with a system. READ MORE
