Essays about: "Maximum Likelihood Classifier"
Showing result 1 - 5 of 8 essays containing the words Maximum Likelihood Classifier.
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1. The Impact of Noise on Generative and Discriminative Image Classifiers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This report analyzes the difference between discriminative and generative image classifiers when tested on noise. The generative classifier was a maximum-likelihood based classifier using a normalizing flow as the generative model. In this work, a coupling flow such as RealNVP was used. READ MORE
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2. Rating corrumption within insurance companies using Bayesian network classifiers
University essay from Umeå universitet/StatistikAbstract : Bayesian Network (BN) classifiers are a type of probabilistic models. The learning process consists of two steps, structure learning and parameter learning. Four BN classifiers will be learned. These are two different Naive Bayes classifiers (NB), one Tree Augmented Naive Bayes classifier (TAN) and one Forest Naive Bayes classifier (FAN). READ MORE
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3. Evaluation of pixel based and object based classification methods for land cover mapping with high spatial resolution satellite imagery, in the Amazonas, Brazil
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : In the state of Acre, Brazil, there is ongoing land use change, where inhabitants of this part of the Amazonian rainforest practice shifting agriculture. Practicing this type of agriculture is, according to the SKY Rainforest Rescue organization, damaging to forest ecosystems. READ MORE
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4. Lifetime Analysis of Automotive Batteries usingRandom Forests and Cox Regression
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : Worn out batteries is a frequent cause of unplanned immobilization of trucks, causing disrupted operations for haulage contractors. To avoid unplanned maintenance, it is desirable to accurately estimate the battery lifetime to perform preventive replacements before the components fail. READ MORE
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5. Mapping wetland areas on forested landsacpes using Radarasat-2 and Landsat-5 TM data
University essay from SLU/Dept. of Forest Resource ManagementAbstract : Wetlands are an important ecosystem for many vital functions such as groundwater recharge, flood control, water quality improvement, and to mitigate erosion. Monitoring and mapping wetlands on a large scale is becoming increasingly more important, and satellite remote sensing provides a practical approach. READ MORE
