oxidant
发表于 2025-3-27 00:27:45
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620539.jpg
巩固
发表于 2025-3-27 04:32:35
https://doi.org/10.1007/978-3-030-86520-7applied computing; communication systems; computer graphics; computer networks; computer security; comput
GLUT
发表于 2025-3-27 06:23:21
Machine Learning and Knowledge Discovery in Databases. Research TrackEuropean Conference,
Biofeedback
发表于 2025-3-27 13:26:59
Non-exhaustive Learning Using Gaussian Mixture Generative Adversarial Networksthe reason that real-life complex datasets may not follow a well-known data distribution. In this paper, we propose a new online non-exhaustive learning model, namely, Non-Exhaustive Gaussian Mixture Generative Adversarial Networks (NE-GM-GAN) to address these issues. Our proposed model synthesizes
Myosin
发表于 2025-3-27 13:51:38
Generative Max-Mahalanobis Classifiers for Image Classification, Generation and Moreicular, the Max-Mahalanobis Classifier (MMC) [.], a special case of LDA, fits our goal very well. We show that our Generative MMC (GMMC) can be trained discriminatively, generatively or jointly for image classification and generation. Extensive experiments on multiple datasets show that GMMC achieve
misshapen
发表于 2025-3-27 20:19:34
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GEST
发表于 2025-3-27 22:51:42
Principled Interpolation in Normalizing Flowsvely. Our experimental results show superior performance in terms of bits per dimension, Fréchet Inception Distance (FID), and Kernel Inception Distance (KID) scores for interpolation, while maintaining the generative performance.
Temporal-Lobe
发表于 2025-3-28 02:46:19
Decoupling Sparsity and Smoothness in Dirichlet Belief Networksn each layer, and smoothness is enforced on this subset. Extra efforts on modifying the models are also made to fix the issues which is caused by introducing these binary variables. Extensive experimental results on real-world data show significant performance improvements of ssDirBN over state-of-t
Hemiplegia
发表于 2025-3-28 08:19:42
Learning Weakly Convex Sets in Metric Spacesensional algorithm. The second one is concerned with the Euclidean space equipped with the Manhattan distance. For this metric space, weakly convex sets form a union of pairwise disjoint axis-aligned hyperrectangles. We show that a weakly convex set that is consistent with a set of examples and cont
单色
发表于 2025-3-28 12:23:46
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