Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Tree-based algorithm"”.
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Performance Analysis of a Binary-Tree-Based Algorithm for Computing Spatial Distance Histograms
… the performance of improvement of an existing algorithm for computing SDH. The algorithm already being used is using a conceptual data structure called density map which is implemented via a quad tree index. An algorithm having density maps implemented via binary tree is proposed in this …
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Spatial Accelerator Generation and Optimization for Tensor Applications
… the connections by a minimum-spanning-tree-based algorithm and a breadth-first-search-based heuristic algorithm for merging different spatial dataflow designs. LEGO back end then translates the hardware in a primitive-level graph to perform lower-level optimizations, and applies a set …
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Graph Isomorphism Algorithms Based on Trees and Paths.
Polynomially bounded algorithms are presented for testing isomorphism of two classes of graphs: the strongly regular graphs, which have been difficult for many previous isomorphism algorithms to process, and the compact graphs (graphs with diameter of 2 whose complements also have diameter of …
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Uplift modeling for randomized experiments and observational studies
… that leads to the most desirable outcome based on subject characteristics. Most work in the last century focus on the average effect of a treatment across a population of interest, but ignores subject heterogeneity which is very common in real world. Recently there has been explosion of …
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An Adaptive Computer Vision Technique for Estimating the Biomass and Density of Loblolly Pine Plantations using Digital Orthophotography and LiDAR Imagery
… develops, implements, and tests an individual tree-based algorithm for obtaining forest density and biomass using orthophotographs and small footprint LiDAR imagery. It was designed to work with a range of forests and image types without modification, which is accomplished by using generic …
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Predicting radioactive waste glass properties with machine learning and modelling
… include pH or release data, and typically a tree-based algorithm, for example, a bagged random forest. The trained algorithms could successfully predict (> 12 year) long-term UK MW glass and newly measured (7 day) short-term ISG/MW25 free pH and (27 day) ISG/Ca-Zn Tris-Tris HCl buffered pH …