Sparse-representation-based single-channel source separation, in which an attempt is made to recover each source’s signal using its corresponding sub-dictionary, has attracted many scholars’ attention. The basic premise of this model is that each su
Convolutional neural networks (CNNs) have been widely used in computer vision community, significantly improving the state-ofthe- art. In most of the available CNNs, the softmax loss function is used as the supervision signal to train the deep model
MACHINE LEARNING:Discriminative and Generative Tony Jebara Columbia University, U.S.A. -----The objective of this monograph is to unite two powerful yet different paradigms in machine learning: generative and discriminative. Generative learning appr
Abstract—Due to the high spectral resolution, anomaly detection from hyperspectral images provides a new way to locate potential targets in a scene, especially those targets that are spectrally different from the majority of the data set. Convention
—Accurate scale estimation of a target is a challenging research problem in visual object tracking. Most state-of-the-art methods employ an exhaustive scale search to estimate the target size. The exhaustive search strategy is computationally expens
Review on RAPD–PCR as a Discriminative Tool for Fish Bacteria，Lee Seong Wei，Najiah Musa，This paper described application of random amplified polymorphic DNA- polymerase chain reaction (RAPD-PCR) to discriminate bacteria isolated from aquaculture site
笔记目录摘要1.简介2.相关工作3.方法3.1生成器模块3.2判别模块3.3优化4.实验4.1实验实现细节4.2生成评估4.3判别评估5.结论论文部分英文解释论文翻译参考
Joint Discriminative and Generative Learning for Person Re-identification
arXiv:1904.07223v2 [cs.CV] 22 May 2019
注：限于作者水平，本笔记难免存在不妥之处，欢迎批评指正
摘要
以往的方法生成数据流程与判别性re-id
Functional near-infrared spectroscopy (fNIRS) is a neuroimaging technology which is suitable for psychiatric patients. Several fNIRS studies have found abnormal brain activations during cognitive tasks in elderly depression. In this paper, we propose
