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Selecting an adequate machine learning model, e.g. for feature selection or classification, is a very important task in developing machine learning applications. In order to perform an adequate selection, statistic tests are introduced by several approaches but some of them are hard to reproduce in different case studies due to the lack of a systematic application procedure. This work presents a methodological...
Rolling bearing is one of the most commonly used components in rotating machinery. It is easy to be damaged which can cause mechanical fault. Thus, it is significance to study fault diagnosis technology on rolling bearing. This paper presents a Deep Boltzmann Machines (DBM) model to identify the fault condition of rolling bearing. A data set with seven fault patterns is collected to evaluate the performance...
This paper addresses approximate partial symmetry detection in 3D point clouds, a classical and foundational tool for analyzing geometry. We present a novel, fully unsupervised method that detects partial symmetry under significant geometric variability, and without constraints on the number and arrangement of instances. The core idea is a matching scheme that finds consistent co-occurrence patterns...
In this paper, a method of 3D reconstruction from an image sequence acquired by a moving camera is presented. The internal parameters and the motion of the camera are absolutely unknown. Firstly, the features of the reconstruction object are detected in each image, and are matched between image pairs. A new method of angel filtering is used to eliminate false correspondences. Fundamental matrix can...
In this paper, we present a framework for neural activity detection using fMRI data, based on both statistical data analysis (data-driven) and graphical information modeling (model-based). The data-driven approaches do rough prediction when an extraordinary amount of neural activities arise. By proper exploration of spatial, temporal, inter-subject correlations, the model-based approaches can provide...
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