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In this paper, we propose a PU learning (i.e., learning from positive and unlabeled data, which trains a binary classifier using only PU examples) based method for extracting the built-up areas (BAs) from fully polarimetric synthetic aperture radar (PolSAR) imagery. The key feature is that there are no labeled negative training data, thus the traditional classification techniques are not applicable...
In e-commerce websites, customers usually make comments, which include the properties of the product, the attitude to the vendor, express delivery information after buying the products. The information provides an important reference when others buy products in the website. In sentiment analysis, a finer-grained opinion mining approach focuses on not only the product itself as a whole but also product...
Audio index is an important part of NIST-RT-SD evaluation since 2003. Speaker Diarization is one kind of audio index technology which is marked by different speakers. One essential component of speaker diarization is speaker clustering which is always the pre-processing of speech recognition. The general method is to extract acoustic feature such as LPCC or MFCC and achieve some model such as HMM...
For elaborately understanding what product features the reviews focuses on, we propose an approach based on patterns to extraction features (titles). Trough setting length, upper and lower limit probability and frequency thresholds, we extract patterns of POS tags and features from the training corpus. To enhance adaptability of the pattern set, we merge some fundamental patterns into a new fuzzy...
Multi-sensors information fusion (MSIF) technology, is being widely applied to various fields, particularly, the modern military field. In order to enhance the capability of ship chemical defense support in the future informationalization sea warfare, a review of the study and application about MSIF technology in naval ships chemical detection (NSCD) field is researched, the model of NSCD system based...
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