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Recently, sparse representation based classification (SRC) has been successfully used for visual recognition and showed impressive performance. Given a testing sample, SRC computes its sparse linear representation with respect to all the training samples and calculates the residual error for each class of training samples. However, SRC considers the training samples in each class contributing equally...
Nowadays, while visiting services on the remote machine, the developer often need give the address information to the procedure. There are primarily two schemes for the developer offer parameters design. The first one is that giving the parameters by the parameter list of function. The second is that the program transfer parameters by the file of address information. For the first scheme the user...
The complex and diversity of embedded system make the developing and testing embedded system a hard work. Providing a high-availability high-scale universal testing platform can improve the development of embedded software. The autotest platform focuses on layered scalability and continuous integration. Loose coupling between the layers makes the system easy to extend at the local layer. Continuous...
Multimodal biometric system utilizes two or moreindividual modalities, e.g., face, ear, and fingerprint, toimprove the recognition accuracy of conventional unimodalmethods. We propose a new dimensionality reduction methodcalled Dimension Reduce Projection (DRP) in this paper. DRPcan not only preserve local information by capturing the intramodal geometry, but also extract between-class relevant structures...
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