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In this paper, an integrated emotion regulation system (IERS) is proposed based on the regulation process model for happiness improvement. Including extracting the valuable information from user's contents on social network, the IERS analyzes users' emotion variation and semanteme reflecting to the regulation process model and aim to appropriately feedback to users. The feedback sentences are chosen...
A practical system named automatic video thumbnail selection system is proposed for video sharing sites in this paper. It aims to automatically select a best thumbnail among several extracted thumbnails for a video. To achieve this, video thumbnail features including high-level and low-level visual information are proposed and the corresponding scores are calculated firstly. Then a weighting method...
An improved motion-search method based on pattern classification is proposed in this paper. A new feature representing the maximum motion around the current block is introduced, allowing more precise description of the motion characteristics of the block. Ada-Boost classifiers can correctly classify the harder-to-classify samples by increasing the weights of misclassified samples, so are adopted to...
In this paper, we propose a max modular support vector machine (M2-SVM) and its two variations for pattern classification. The basic idea behind these methods is to decompose training samples of one class into several parts and learn each part by one modular classifier independently. To implement these methods, a dasiapart-against-otherspsila training strategy and a max modular combination principle...
The traditional anti-spam techniques like black and white list can not meet the needs of the spam filter nowadays. Some machine learning techniques become very popular in the research of spam filter. Support vector machine is one of the most excellent methods in classifying. But these techniques are usually applied to spam identity based on the mail body textual content only, seldom discussing about...
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