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Expression recognition in the wild is a challenging task because of the interference of various environment. In this paper, we propose a transfer-learning method that utilize two representative transformations from grayscale images as input and fuse their results in decision level to enhance the overall performance, which also address the dimensional mismatch issue when applying pre-trained deep neural...
Most existing TV logo detection methods regard the logo's region as a whole and depend on the global features derived from it, these methods fit to solid TV logos. However, we find one special kind of TV logo which has large hollow areas within the logo's region and we name it “hollow TV logo.” In this case, the global features are dramatically varying due to the changing content in the hollow areas,...
Prostate cancer is the second most frequent cause of cancer deaths among men in the US. In the most reliable screening method, histological images from a biopsy are examined under a microscope by pathologists. In an early stage of prostate cancer, only relatively few gland units in a large region become malignant. Discovering such sparse malignant gland units using a microscope is a labor-intensive...
With the rapid increase of protein sequences in the post-genomic age, the need for an automated and accurate tool to predict membrane protein types becomes increasingly important. Many efforts have been tried. Most of them aim to find the optimal classification scheme and less of them take the simplifying the complexity of biological system into consideration. This work shows how to decrease the complexity...
Extracting multi-records from web pages is useful, it allows us to integrate information from multiple sources to provide value-added services. Existing techniques still have some limitations because of their several restrictions and accuracy. This paper proposes a new method to perform multi-records extraction task automatically. Firstly, the HTML tag tree is build based on an embedded browser interface...
Recently, locality sensitive discriminant analysis (LSDA) was proposed for dimensionality reduction. As far as matrix data, such as images, they are often vectorized for LSDA algorithm to find the intrinsic manifold structure. Such a matrix-to-vector transform may cause the loss of some structural information residing in original 2D images. Firstly, this paper proposes an algorithm named two-dimensional...
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