实验室研究员在CCF推荐 国际知名Neural Processing Letters上发表文章Hierarchical Task-Incremental Learning with Feature-Space Initialization Inspired by Neural Collapse [PDF] 1.Instruction 一个好的终身学习模型能够随着时间的推移不断地更新其概念词汇,这与人类不断的完善和扩展其对概念层次的理解的方式如出一辙。...
实验室研究员在国际知名学术期刊Neural Processing Letters上发表文章，文章标题为"Hierarchical Task-Incremental Learning with Feature-Space Initialization Inspired by Neural Collapse"。此文章旨在探讨如何构建一个能随时间更新概念词汇的终身学习模型，以类比人类对概念层次的理解。文章指出，现有许多增量学习...
影响因子: 2.600 出版商: Springer ISSN: 1370-4621 浏览: 19564 关注: 20 征稿 Aims and scope Neural Processing Letters is an international journal that promotes fast exchange of the current state-of-the art contributions among the artificial neural network community of researchers and users. The Jou...
Neural Processing Letters 基本信息 期刊全称 Neural Processing Letters 期刊简称 NPL Print ISSN 1370-4621 Online ISSN 1573-773X 期刊出版社 Springer 是否开放获取 Open Access,OA 否 官网地址 https://www.springer.com/journal/11063 期刊所属领域
Traffic signs are a key constituent of the road network and prove to be very useful for warning and guiding the drivers. In intelligent transport systems, traffic sign recognition (TSR) is indispensable for autonomous driving. However, due to the complex outdoor environment, real-time recognition...
the Neural Networks editorial board represents experts in fields including psychology, neurobiology, computer science, engineering, mathematics, and physics. The journal publishes articles, letters, and reviews, as well as letters to the editor, editorials, current events, and software surveys. Articles...
摘要原文 In this paper, we present a system for sketch classification and similarity search. We used deep convolution neural networks (ConvNets), state of the art in the field of image recognition. They enable both classification and medium/highlevel features extraction. We make use of ConvNets...
For further research, SN P systems with self-organization may be used to recognize handwritten digits letters and other possible pattern recognition prob- lems. Since the data structure of SN P systems is binary sequences, an extra task of transmitting letters or pictures into binary sequences ...
• Multi-Step NaiveCNN (NaiveCNN-MS) which use a 2D CNN to extract visual feature from each depth image and fuse them together to get the overall visual feature, instead of stacking multiple depth images and processing the stacked visual observation with a 2D CNN. For NaiveCNN...
Existing image generation methods mostly generate images by filling pixels, which lacks the stroke-by-stroke drawing process of an artist, resulting in differences in brushstroke details and textures from those found in real artworks. On the contrary, neural painting aims to imitate the stroke-by-...