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Visual tracking is intrinsically a temporal problem. Discriminative Correlation Filters (DCF) have demonstrated excellent performance for high-speed generic visual object tracking. Built upon their seminal work, there has been a plethora of recent improvements relying on convolutional neural network (CNN) pretrained on ImageNet as a feature extractor for visual tracking. However, most of their works...
Spectral unmixing is a useful technique in fluorescence imaging for reducing the effects of background fluorescence (BF), also called autofluorescence (AF), and separating multiple fluorescence probes. But it is complicated by the significant overlap of the fluorophore emission spectra, and the strong BF signal is often highly mixed with all multi-target fluorescences and can have a confusing effect...
The Chinese welfare lottery "double color ball" is a lottery giant in China. In 2011, sales volume is about ¥300 million for each drawing, the average monthly sales amount is more than ¥3 billion, the highest jackpot is over ¥800 million, and there are hundreds of millions of participants with a broad social impact. This, people are concerned aboutwhether thedrawing of "double color...
The method of partial least-squares regression can effectively deal with the problems of multicollinearity among independent variables", "but can not ideally solve the complicated problems of nonlinearity between dependent variables and independent variables. The method of coupling model with neural network and projection pursuit is an ideal tool to deal with the problem of nonlinearity,...
The design and analysis of one-dimensional(1D) nearly-orthogonal symmetric wavelet filter banks has been studied. Methods for analyzing the correlation of the nearly-orthogonal filter banks are proposed. The basic idea is to impose multiple zeros at the aliasing frequency to a symmetric filter, minimize the deviation of the filter satisfying the orthogonal condition, then a nearly orthogonal filter...
Due to customer's different knowledge background and interests, the demand information is different on presentation and content. A unified information model is built up to standardize information, which includes the demand framework, the effective demand item and the basic desirous function. Based on the information similarity, a fusion method is given to synthesize incomplete information. The steps...
Recently atmospheric nitrogen deposition was heavily increased and this would alter carbon cycling process in terrestrial ecosystems. We conducted greenhouse experiments with 8 sand plants under nutrient controlled (simulate the nitrogen deposition), then use ‘smatr’ package to analysis the variation of the plant leaf functional traits. Our study shows that, LNC, LPC and Aarea were increased while...
Constructed wetlands (CWs) have proven to be a promising treatment alternative for developing countries. Recently attention has been focused on the ability of CWs to reduce human pathogens in wastewater. In this study, indicator microorganisms (Escherichia coli) and pathogens (Salmonellae) were analyzed from a full-scale surface flow constructed wetland situated in China. The results showed that for...
MODIS aerosol retrievals onboard Terra and ground truth data obtained from AERONET (Aerosol Robotic Network) solar direct radiance measurements are collocated to evaluate the quality of the former in Anhui. The validation results show that the MODIS Collection 005 aerosol optical thickness (AOT) has a good relationship with AERONET AOT and their correlation coefficient is larger than 0.8 in Anhui...
There is a low forecasting accuracy when we forecast the price date by the traditional BP network only considering a single closing price as the time series vector. But, if we try to add other factors vector to the BP network input vector, we will find there are low training accuracy caused by the a large number of factors .In order to solve the issues raised above ,the author sets up a two-step Forecast...
The design and analysis of one-dimensional (1D) nearly-orthogonal symmetric wavelet filter banks has been studied. Methods for analyzing the correlation of the nearly-orthogonal filter banks are proposed. The basic idea is to impose multiple zeros at the aliasing frequency to a symmetric filter, minimize the deviation of the filter satisfying the orthogonal condition, and then a nearly orthogonal...
Grey incidence model determines the closeness degree from the closeness and similarity of statistical sequence's geometrical form. Traditional grey incidence model calculates statistical sequence's correlation degree from the perspectives of its acreage, slope, changing velocity, etc. These incidence models have dual influences exerted by horizontal and vertical coordinates. Subsequently, inference...
Focusing on vehicle detection system, multi-vehicles are detected as a single target, disturbed by cast shadows. No matter what illumination, or if there are shadows, the luminance of the vehicle bottom decreased, the area is the darkest region of an image, is an important information for vehicle detection. Our results show the self-adaptive for the illumination variance, and low ratio of miss detection...
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