Fully leveraging the probabilistic formulation of MDMs, we propose a simple yet effective unsupervised classifier-free guidance that effectively exploits large-scale unpaired data, …

2018年3月9日 · A fixed-to-fixed length, invertible DM architecture based on shell mapping is presented. It is shown that shell mapping for distribution matching (SMDM) is the optimum DM …

2024年8月13日 · 深度神经网络（Deep Neural Networks, DNN）是一种包含多个隐藏层的神经网络模型。 它通过多层非线性变换将输入数据映射到输出数据，从而实现对复杂函数的逼近。

2022年7月9日 · Therefore, we propose a Semantic Max-Divergence Metric (SMDM) based method to measure the distances between relations from both direct and indirect semantic …

2024年4月24日 · dnn是一种最简单的神经网络，由多个神经元组成，每个神经元与前一层的所有神经元相连，信号从输入层向输出层单向传播。dnn具有较高的灵活性，能够适应各种类型的数 …

2018年12月31日 · To address these limitations, we present ADMM-NN, the first algorithm-hardware co-optimization framework of DNNs using Alternating Direction Method of Multipliers …

Abstract: Elastic scaling and load balancing with efficient switch migration are critical to enable the elasticity of software-defined networking (SDN) controllers, but learning how to improve …

2021年11月26日 · Simulation results demonstrate the superiority of the proposed DNN-based receiver. This work deals with the combined effect of nonlinear distortions and inter-channel …

2021年5月26日 · In this work, we present the first-of-its-kind real-time multi-task D 2 NNs architecture optimized in hardware-software co-design fashion, which enables sharing partial …

The SMDM system publishes relational-based master data as virtual RDF store, and injects instantaneous reasoning capabilities into semantic queries. Two kinds of ontologies are …