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In the modern society, energy consumption such as gas and electricity is closely related to the weather condition because of the large share of weather-sensitive electrical appliances. Investigating how weather influences the energy consumption is of great significance for energy demand forecasting. This paper proposes an optimum regression approach for analyzing weather influence on the energy consumption...
It is an urgent need to understand the structure-function relationship in proteomic era. One of the important techniques to meet this demand is to analyze and represent the spatial structure of domain which is the functional unit of the whole protein, and perform fast domain classification. In this paper, we introduce a novel method of rapid domain classification. Instead of analyzing directly protein...
For the large hub airports which are usually located far away from city center, the convenience of passenger transfer between city and airport is not only related to service quality of airport, but also to the important aspect of city traffic efficiency. This paper uses Beijing capital international airport as an example. It quantitatively analyzes the behavior of transfer of the airport passengers...
This paper investigates how to integrate multi-modal features for story boundary detection in broadcast news. The detection problem is formulated as a classification task, i.e., classifying each candidate into boundary/non-boundary based on a set of features. We use a diverse collection of features from text, audio and video modalities: lexical features capturing the semantic shifts of news topics...
In this paper, an Enhanced PCA-SIFT is proposed and a FSVM is adopted for gender classification. The Enhanced PCA-SIFT is based on PCA-SIFT, which has been successfully applied into feature extraction, the Enhanced PCA-SIFT is to extract face features including gender information. A membership algorithm based on LVQ is used in FSVM. In FERET, CAS-PEAL and BUAA-IRIP face image database, Experimental...
In this paper, we investigated a new feature set, called the histograms of multi-scale orientations (H-MSO), for vehicle representation and detection. The multi-scale orientations on image pixels are calculated using Gabor filters of different scale and orientation parameters. Firstly, we divide the image into cells, and calculate the histograms of multi-scale orientations in each cell by statistics...
In this paper, we propose a method for fast pedestrian detection in images/videos. Multi-scale orientated (MSO) features are proposed to represent coarse pedestrian contour, on which Adaboost classifiers are trained for pedestrian coarse location. In the fine detection, histogram of oriented gradient (HOG) features and SVM classifiers are employed to precisely classify pedestrians and non-pedestrians...
In order to extract compact and effective feature to characterize protein structure, this paper presents a feature extraction of protein fold by mapping into 2-D distance matrix which is regarded as gray level image and further analyzed by image processing techniques. Firstly, gray level co-occurrence matrix (CoM) of distance matrix image (DMI) is calculated and its singular values are taken as the...
One of the most important research aims is to understand the relationship between structure and function of protein. Inspired by this motivation, automatic classification of protein structure becomes one of major research approaches. However, how to extract compact and effective feature to characterize protein structure is still a challenge to it. In this paper, 3-D tertiary structure of protein fold...
Widely used in the evaluation of retrieval systems, the pooling method collects top ranked images from submitted retrieval systems resulting in possibly a very large pool of images. Inevitably, the pool may contain outliers. Human experts then manually annotate the relevance of them to create a ground truth for evaluation. Studies show that this annotation is time-consuming, tedious and inconsistent...
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