Essays about: "Kernel Method"
Showing result 1 - 5 of 105 essays containing the words Kernel Method.
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1. A Multi-camera based Next Best View Approach for Semantic Scene Understanding
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Robots are becoming more common; robotics has gone from bleeding-edge technology to an everyday topic that families discuss around thedinner table.The number of robots in the industry is growing, which means thatthe demand and need for robots to understand the environment it isworking in is also growing. READ MORE
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2. A Conjugate Residual Solver with Kernel Fusion for massive MIMO Detection
University essay from Högskolan i Halmstad/Centrum för forskning om tillämpade intelligenta system (CAISR)Abstract : This thesis presents a comparison of a GPU implementation of the Conjugate Residual method as a sequence of generic library kernels against implementations ofthe method with custom kernels to expose the performance gains of a keyoptimization strategy, kernel fusion, for memory-bound operations which is to makeefficient reuse of the processed data. For massive MIMO the iterative solver is to be employed at the linear detection stageto overcome the computational bottleneck of the matrix inversion required in theequalization process, which is 𝒪(𝑛3) for direct solvers. READ MORE
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3. An empirical study of the impact of data dimensionality on the performance of change point detection algorithms
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : When a system is monitored over time, changes can be discovered in the time series of monitored variables. Change Point Detection (CPD) aims at finding the time point where a change occurs in the monitored system. READ MORE
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4. Spatial downscaling of gridded soil moisture products using optical and thermal satellite data: the effects of using different vegetation indices
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Soil moisture (SM) plays an important role in the exchange of heat and water between the surface and atmosphere, impacting water and energy cycles and the climate. Satellite remote sensing offers a global-scale estimation of SM; however, the coarse resolutions of satellite SM products, typically ranging from 25-50 km, are unsuitable for regional analysis. READ MORE
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5. Machine learning for detecting financial crime from transactional behaviour
University essay from Uppsala universitet/Signaler och systemAbstract : Banks and other financial institutions are to a certain extent obligated to ensure that their services are not utilized for any type of financial crime. This thesis investigates the possibility of analyzing bank customers' transactional behaviour with machine learning to detect if they are involved in financial crime. READ MORE