Essays about: "Maximum Likelihood Classifier"

Showing result 1 - 5 of 7 essays containing the words Maximum Likelihood Classifier.

  1. 1. Rating corrumption within insurance companies using Bayesian network classifiers

    University essay from Umeå universitet/Statistik

    Author : Oscar Öhman; [2019]
    Keywords : ;

    Abstract : 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

  2. 2. 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 ekosystemvetenskap

    Author : Linnea Jonsson; [2015]
    Keywords : support vector machine; maximum likelihood; SPOT-5; classification; geography; physical geography; RBF-kernel; OBIA; multiresolution segmentation; Earth and Environmental Sciences;

    Abstract : 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

  3. 3. Lifetime Analysis of Automotive Batteries usingRandom Forests and Cox Regression

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : JOHANNA ROSENVINGE; [2013]
    Keywords : ;

    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

  4. 4. Mapping wetland areas on forested landsacpes using Radarasat-2 and Landsat-5 TM data

    University essay from SLU/Dept. of Forest Resource Management

    Author : Jennifer Martin; [2012]
    Keywords : Radarsat; Landsat; wetlands; classification; land cover; multi-soruce data; remote sensing; Random Forests; Maximum Likelihood Classifier;

    Abstract : 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

  5. 5. Tree species classification using support vector machine on hyperspectral images

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Rikard Hedberg; [2010]
    Keywords : remote sensing; classification; support vector machine; maximum likelihood; principal component analysis; t-test; hyperspectral; multispectral;

    Abstract : For several years, FORAN Remote Sensing in Linköping has been using pulseintense laser scannings together with multispectral imaging for developing analysismethods in forestry. One area these laser scannings and images are used for is toclassify the species of single trees in forests. READ MORE