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Multiple Kernel Clustering via Local Regression Integration
It captures the local structure of kernel data and employs kernel regression on the local region to predict the clustering results.
Discovering Malicious Signatures in Software from Structural Interactions
Malware represents a significant security concern in today's digital landscape, as it can destroy or disable operating systems, steal sensitive user information, and occupy valuable disk space.
Deep Learning Eliminates Massive Dust Storms from Images of Tianwen-1
Inspired by the haze formation process on Earth, we formulate a similar visual degradation process on clean images and synthesize dusty images sharing a similar feature distribution with realistic dusty images.
Manifold Adaptive Multiple Kernel K-Means for Clustering
Multiple kernel methods based on k-means aims to integrate a group of kernels to improve the performance of kernel k-means clustering.
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