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In order to solve the problem that the anomalous samples are scarce and the model is susceptible to abnormal data, this paper introduces the idea of kernel trick in the process of constructing the projection classifier and constructs three kinds of projection one-class classifiers: Projection Support Vector Data Description (PSVDD), Projection K-means (PK-means) and Projection K-centers (PK-centers)...
Insulator identification in aerial videos is one of the key procedures to the condition analysis for aerial power line inspections. This paper proposes a novel insulator recognition method for images taken by Unmanned Aerial Vehicles (UAVs) with highly cluttered background, which is to adopt a machine learning algorithm Support Vector Machine (SVM) as a classifier to distinguish insulator from the...
Ads exist everywhere and all the time of our daily lives. Semantic analysis of ad videos is a challenge task for its creative design and dynamic content. In this paper, we put forward a novel semantic concept - brand image shared by most ad videos, which highlights the product or service and capture the viewers' attention. Some global and local features are extracted from the shot key frames to detect...
Recently, a new approach called two-dimensional principal component analysis (2DPCA) has been proposed for face representation and recognition. The essence of 2DPCA is that it computes the eigenvectors of the so-called image covariance matrix without matrix-to-vector conversion. Kernel principal component analysis (KPCA) is a non-linear generation of the popular principal component analysis via the...
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