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Sentiment analysis, also known as opinion mining, seeks to figure out points of view from documents. Sentiment classification is a specific task of sentiment analysis that divides documents into positive and negative sentiment polarities according to the attitudes expressed. Feature extraction is a significant part of sentiment classification. Traditional feature extraction methods mine statistical...
Lyrics are an important part of songs. Lyrics recognition is the basis of retrieving songs and recognizing the content of songs, which is of great value. At present, the research of speech recognition has made great progresses. But there are still difficulties in recognition of lyrics in songs with accompaniment. Related research is generally lacking, especially for Chinese lyrics in songs with accompaniment,...
Goal: A brain-computer interface (BCI) provides a way to translate the motion intentions of human using brain signals such as electroencephalogram (EEG) into control commands. EEG signals are highly subject specific and non-stationary. One of the most challenging tasks is to classify motion intentions since the recorded EEG signals have inherent non-stationarities which are due to changes in the signal...
Traffic lights recognition is important to make intelligent vehicles safe. Most of existing means to detect and recognize traffic lights focus on color, size and shape of traffic lights, which are great affected by weather and illumination conditions. In this work, we utilize deep learning and SVM classifiers to recognize traffic lights for varying illumination conditions. More specifically, a PCA...
In this paper an improvement over our previous work is proposed to handle short-medium range surveillance videos. The features of histogram of oriented social force (HOSF) are the primitive building blocks to capture the interactions among people. To reduce the correlation among data, whitening procedure is applied on features. We use Bag-of-Feature (BoF) to pool HOSF in a given frame. Since our goal...
A novel and efficient human action recognition method utilizing spatio-temporal interest point detector and 3D speed up robust features (3D SURF) descriptor is proposed. The spatio-temporal interest points are detected using two separate linear filters. Then 3D SURF descriptor is presented and demonstrated in detail to represent the local region around interest point. The experimental results on KTH...
This paper proposes an automatic scheme to extract Chinese abbreviations and their corresponding definitions from large-scale anchor texts. This method is motivated by the observation that the more frequently two anchor texts point to the same web page, the more related they are. Since abbreviation-definition pairs are highly related, they can be extracted from these related words. Our method involves...
Gait is one of the biometric technologies which can be identified as an individual by his/her walking style. This paper proposes an effective gait recognition method based on mean gait energy image(MGEI) which utilizes kernel principal component analysis(KPCA). KPCA is capable of capturing part of the high-order statistics which are particularly important for MGEI structure. MGEI is calculated from...
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