厚颜
发表于 2025-3-27 00:32:32
On Parallel Lines in Noisy Formsn scanned forms is often accomplished with the Hough transform. Here it is followed by simultaneous extraction of the dominant perpendicular sets of extracted lines, which ensures rotation invariance. Translation and scale invariance are attained by using minimal horizontal and vertical sets of dist
鄙视
发表于 2025-3-27 02:45:49
Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performanceproved on the basis of a training set. We study several proposals to optimize such measures for nearest neighbor classification, explicitly including non-Euclidean measures. Some of them may directly improve the distance measure, others may construct a dissimilarity space for which the Euclidean dis
起波澜
发表于 2025-3-27 06:30:02
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ostracize
发表于 2025-3-27 11:15:49
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GUISE
发表于 2025-3-27 17:41:13
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CHURL
发表于 2025-3-27 21:46:02
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拒绝
发表于 2025-3-28 01:25:39
Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse Training Labelslerated by taking advantage of the sparsity of the training labels. This speed improvement is demonstrated in a running time experiment and the applicability of the algorithm in a practical problem of predicting drug-target interactions.
Melanocytes
发表于 2025-3-28 03:27:15
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laceration
发表于 2025-3-28 06:47:04
Balanced ,-Means for Clusteringm. This is a novel approach, and makes the assignment phase time complexity .(..), which is faster than the previous .(....) time linear programming used in constrained .-means. This enables clustering of bigger datasets of size over 5000 points.
SPECT
发表于 2025-3-28 14:21:34
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