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Text categorization is an important research in nature language process and content analysis. In this paper, we present latent factor SVM (LF-SVM) for text categorization which use latent factor vectors for category representation on text categorization. We prove that latent factors extracted by PLSA (probability latent semantic analysis) can span convex structure to express text category. Based on...
Behavioral targeting (BT) is a valuable tool for online advertising. In this paper, we study a new problem of incorporating social information into traditional behavior targeting models. Specifically, we present a social regularization based Poisson regression framework for behavior targeting. Based on the observation that social information can be diverse and competing, we furthermore present two...
In order to describe the camera internal geometrical and optical parameters, and the relation between camera and object in three-dimensional space, traditional camera calibration methods usually need to assume lots of priori knowledge, establish precise mathematical model and then decompose and calculate those parameters we need. While artificial neural network has outstanding non-linearity mapping...
Face image classification is a central problem in computer vision research and information retrieval area. Most image classification systems have taken one of two approaches, using either global or local features exclusively. This may be in part due to the difficulty of combining a single global feature vector with a set of local features in a suitable manner. To classify images for versatile applications,...
Current monitoring method has become a new method. In this paper, we took the total load current signal of lathes as the main object, used wavelet analysis and FFT to process this signal respectively, and extracted signal features to indicate the working state. Then by constructing the Support Vector Machine (SVM) “One against One” clustering structure model the recognition of the working state can...
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