Essays about: "matching methods"
Showing result 11 - 15 of 247 essays containing the words matching methods.
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11. Map Based Sensor Fusion for Lane Boundary Estimation on ADAS
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A vehicles ability to detect and estimate its surroundings is important for ensuring the safety of the vehicle and passengers regardless of the level of vehicle autonomy. With an improved road and lane estimation, advanced driver-assistance systems will be able to provide earlier and more accurate warnings and actions to prevent a possible accident. READ MORE
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12. Evaluating clustering techniques in financial time series
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : This degree project aims to investigate different evaluation strategies for clustering methodsused to cluster multivariate financial time series. Clustering is a type of data mining techniquewith the purpose of partitioning a data set based on similarity to data points in the same cluster,and dissimilarity to data points in other clusters. READ MORE
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13. Multi-factor approximation : An analysis and comparison ofMichael Pykhtin's paper “Multifactor adjustment”
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : The need to account for potential losses in rare events is of utmost importance for corporations operating in the financial sector. Common measurements for potential losses are Value at Risk and Expected Shortfall. These are measures of which the computation typically requires immense Monte Carlo simulations. READ MORE
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14. Contactless palm print recognition: Novel design and palm openness classification
University essay from Lunds universitet/Matematik LTHAbstract : Biometric technologies, such as facial and fingerprint recognition, have become widely adopted for identity verification in various applications. Palm biometrics, utilizing the unique patterns of the human palm, has gained significant attention for its accuracy and security. READ MORE
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15. Cross-Lingual and Genre-Supervised Parsing and Tagging for Low-Resource Spoken Data
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Dealing with low-resource languages is a challenging task, because of the absence of sufficient data to train machine-learning models to make predictions on these languages. One way to deal with this problem is to use data from higher-resource languages, which enables the transfer of learning from these languages to the low-resource target ones. READ MORE