Countermand 发表于 2025-3-28 15:05:12
Image Classification Using Graph Regularized Independent Constraint Low-Rank Representationpace structures embedded in data. However, existing LRR algorithms do not take into account the influence of independence constraints, resulting in incomplete data structures. An innovative technique called image classification using graph regularized independent constraint low-rank representation (LARK 发表于 2025-3-28 21:51:01
http://reply.papertrans.cn/17/1672/167151/167151_42.pngantenna 发表于 2025-3-28 23:16:15
LIFT: Discriminant Classification Approach of Malware Family on Time Consistent Open Setdefenses. To address this, some approaches to Malware Open Set Recognition (MOSR) have been introduced, aiming to categorize known malware families and detect new ones. Nevertheless, current MOSR research tends to neglect the effect of time inconsistency within datasets, which can result in an overl南极 发表于 2025-3-29 05:41:48
http://reply.papertrans.cn/17/1672/167151/167151_44.pngTOM 发表于 2025-3-29 09:34:07
http://reply.papertrans.cn/17/1672/167151/167151_45.pngneologism 发表于 2025-3-29 14:54:33
http://reply.papertrans.cn/17/1672/167151/167151_46.pngconstitutional 发表于 2025-3-29 18:22:09
Globally Convergent Accelerated Algorithms for Multilinear Sparse Logistic Regression with ,-Constraultilinear Sparse Logistic Regression model with . norm constraints (.-MSLR). In contrast to the . norm and . norm, the . norm is more suitable for feature selection. However, due to its nonconvex and nonsmooth properties, solving .-MSLR is challenging and convergence guarantees are lacking. Additio试验 发表于 2025-3-29 22:15:06
http://reply.papertrans.cn/17/1672/167151/167151_48.pngBARB 发表于 2025-3-30 00:50:22
http://reply.papertrans.cn/17/1672/167151/167151_49.pngintimate 发表于 2025-3-30 04:25:44
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