In this paper, we present an approach to selecting models for novelty (outlier) detection. Our approach minimizes the risk of accepting outliers at a fixed normal rejection rate, under the assumption that the distribution of abnormal (outlier) data is uniformly distributed in some bounded region of the input space. This risk is minimized by selecting the model with the smallest volume acceptanc...

Chinese fir (Cunninghamia lanceolata [Lamb.] Hook) is one of the most important plantation tree species in China with good timber quality and fast growth. It covers an area of 8.54 million hectare, which corresponds to 21% of the total plantation area and 32% of total plantation volume in China. With the increasing market demand, an accurate estimation and prediction of merchantable volume at t...

Accurate measurement of wood volume is a very important task at each stage of woodworking process beginning with estimation of volume of cut trees and finishing with determining the volume of resulting product. In most cases, current technology of measurement is based on inexact manual procedures and gives rather rough data. To introduce a new measurement technology in woodworking industry 3D i...

cantaloupe (cucumis melo) volume was measured using water displacement and image processing methods. the volume determined from image processing method was compared to the volume determined by the water displacement method using the paired samples t-test and the bland-altman approach. the paired samples t-test results showed that the volume determined by image processing method was not signific...

Obesity treatment requires obese patients to record all food intakes per day. Computer vision has been introduced to estimate calories from food images. In order to increase accuracy of detection and reduce the error of volume estimation in food calorie estimation, we present our calorie estimation method in this paper. To estimate calorie of food, a top view and side view is needed. Faster R-C...