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We consider a new text classification task: classifying enterprise email messages into sensitive business topics. The identification of sensitive topics in email messages is important for enterprises to safeguard their critical data such as intellectual properties and trade secrets. We introduce the incremental PCA (Principal Component Analysis) to email representation, which can learn a feature subspace...
Though kernel methods have been widely used for feature extraction, it suffers from the problem that its feature extraction efficiency is in inverse proportion to the size of the training sample set. In order to make kernel-methods-based feature extraction computationally more efficient, we propose a novel improvement to the kernel method. This improvement assumes that the discriminant vector in the...
Among several contour splitting algorithms drop-fall algorithm is convenient and accurate for separating handwritten numerals. A set of drop-fall algorithms can produce four possible cutting paths. Based on four drop-fall algorithms, this paper deals with a pattern-oriented strategy for segmenting touching digits in order to solve the problem of determining which drop-fall algorithm producing the...
In this paper, a real time and robust multi-view lip localization in video frames is proposed. The objective of this research is to exactly localize lip surrounding box with sub-pixel accuracy in low quality video frames. This is achieved by multi-view face detection in video frames, lip ROI extraction, color space transformation, vertical edge feature detection and lip localization by a feature-spatial...
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