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In the conventional regularized learning, training time increases as the training set expands. Recent work on L2 linear SVM challenges this common sense by proposing the inverse time dependency on the training set size. In this paper, we first put forward a Primal Gradient Solver (PGS) to effectively solve the convex regularized learning problem. This solver is based on the stochastic gradient descent...
Otsu adaptive thresholding is widely used in classic image segmentation. Two-dimensional Otsu thresholding algorithm is regarded as an effective improvement of the original Otsu method. To reduce the high computational complexity of 2D Otsu method, a fast algorithm is proposed based on improved histogram. Two-dimensional histogram is projected onto the diagonal, which forms 1D histogram with obvious...
X-code is an important 2-erasure correcting vertical array code. In this paper, we present a combinatorial representation for X-code. It is based on graph representation of binary linear/array codes. We represent X-code by Cayley tables of the cyclic groups of prime order - a special column-Hamiltonian Latin squares (CHLS). This representation is helpful to comprehend X-code's 2-erasure correcting...
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