Essays about: "sparse vector"
Showing result 16 - 20 of 20 essays containing the words sparse vector.
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16. Development, Implementation, Optimization and Performance Analysis of Matrix-Vector Multiplication on Eight-Core Digital Signal Processor
University essay from KTH/Numerisk analys, NAAbstract : This thesis work aims at implementing the sparse matrix vector multiplication on eight-core Digital Signal Processor (DSP) and giving insights on how to optimize matrix multiplication on DSP to achieve high energy efficiency. We used two sparse matrix formats: the Compressed Sparse Row (CSR) and the Block Compressed Sparse Row (BCSR) formats. READ MORE
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17. Higher Criticism Testing for Signal Detection in Rare And Weak Models
University essay from KTH/Matematisk statistikAbstract : examples - we need models for selecting a small subset of useful features from high-dimensional data, where the useful features are both rare and weak, this being crucial for e.g. supervised classfication of sparse high- dimensional data. A preceding step is to detect the presence of useful features, signal detection. READ MORE
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18. Integrating GIS and multicriteria analysis in the search for roadside bombs
University essay from Avdelningen för Industriell utveckling, IT och SamhällsbyggnadAbstract : The idea of this study is to test if it is possible to use a modified Multi Critera Analysis (MCA) to automatically identify probable sites for roadside bombs in a country like Afghanistan. The intention is to create a sieving method that saves time when evaluating the threat in large areas. READ MORE
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19. Measuring Monetary Policy - A Theoretical Foundation and an Application of the Factor Augmented Vector Autoregressive Approach
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : This essay uses the Factor Augmented Vector Autoregressive (FAVAR) approach to quantify the effects of monetary policy. Traditional methods to estimate the effects of monetary policy, such as Vector Autoregressive (VAR) models, have yielded unsatisfactory results, mainly due to sparse information sets included in the models. READ MORE
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20. Common cause failure analysis : Methodology evaluation using Nordic experience data
University essay from Institutionen för informationsteknologiAbstract : Within the nuclear industry there is an extensive need for evaluation of the safety of the plant. In such evaluations there is one phenomenon requiring some particular treatment, namely common cause failure (CCF). This involves the occurrences of components failing dependently, meaning failures that can overcome the applied redundancy or diversity. READ MORE