Gaussian-Process-Based Emulators for Building Performance Simulation
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Kernelized Support Vector Machines (SVM) have gained the status of o-the-shelf classiers, able to deliver state of the art performance on almost any problem. Still, their practical use is constrained by their computational and memory complexity, which grow ...
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The increased accessibility of data that are geographically referenced and correlated increases the demand for techniques of spatial data analysis. The subset of such data comprised of discrete counts exhibit particular difficulties and the challenges furt ...
In this work, we present a magnetic measurement system for integration into smart knee prostheses to accurately measure the combination of two knee rotations; namely Flexion- Extension and Internal-External rotations. This measurement system consists of tw ...
Institute of Electrical and Electronics Engineers2013
This work investigates the ability of free induction decay (FID) navigators to provide information on rigid head motion. FID navigators were incorporated in a gradient-echo sequence. In parallel, optical tracking data was acquired and served as the ground ...
Simulating a building to predict its performance over the course of a full year requires an accurate representation of the stable and representative weather patterns of a location, i.e. a weather file. While weather file providers give due consideration to ...
International Building Performance Simulation Association2013
Natural image statistics exhibit hierarchical dependencies across multiple scales. Representing such prior knowledge in non-factorial latent tree models can boost performance of image denoising, inpainting, deconvolution or reconstruction substantially, be ...
This paper presents a new model-free data-interpretation approach for damage detection of bridges using long-term monitoring data. The approach combines two model-free methods: Moving Principal Component Analysis (MPCA) and Robust Regression Analysis (RRA) ...
