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Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
Advanced Robotics Research, EarlyView.This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
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CoNet: Co-occurrence neural networks for recommendation
Future Generation Computer Systems, 2021Abstract Assuming that both users and items are independent and identically distributed, most existing methods model user–item pairs, while ignoring the relationship between items, leading to limited performance. To solve this problem, we propose a novel neural network, CoNet, which can effectively model the co-occurrence pattern for Collaborative ...
Ming Chen, Yunhao Li, Xiuze Zhou
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2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Convolutional Neural Networks (CNNs) became a very popular tool for image analysis. Convolutions are fast to compute and easy to store, but they also have some limitations. First, they are shift-invariant and, as a result, they do not adapt to different regions of the image.
Irina Shevlev, Shai Avidan
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Convolutional Neural Networks (CNNs) became a very popular tool for image analysis. Convolutions are fast to compute and easy to store, but they also have some limitations. First, they are shift-invariant and, as a result, they do not adapt to different regions of the image.
Irina Shevlev, Shai Avidan
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Analyzing Co-occurrence Networks of Emojis on Twitter
2021Emojis have become an integral part of digital communication in recent years. They promote the expression of emotions and ideas through visual icons of people, animals, and symbols. Twitter provides a platform for discussion and commentary in real time with a diverse and global audience, making it a good candidate for studying the usage of emoji across
Hasan Alsaif, Phil Roesch, Salem Othman
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Proposal of Chance Index in Co‐occurrence Network
Electronics and Communications in Japan, 2015SUMMARYThis paper proposes chance index that estimates whether a node is chance in a co‐occurrence network. Recently, chance discovery researches are attractive for several domains. By using chance discovery, we can develop new business or predict earthquake. However, there is a problem that chance discovery requires analysts’ inference from visualized
Yukihiro Takayama, Ryosuke Saga
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Co-occurrence analysis of scientific documents in citation networks
International Journal of Knowledge-based and Intelligent Engineering Systems, 2020Citation pattern analysis is an important component for measuring research performance of the author. Co-citation analysis has been used as an effective method to find citation pattern analysis, but it does not take co-occurrence analysis among authors. A method to find co-occurrence analysis among authors is proposed in this work.
Satish Muppidi, K. Thammi Reddy
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On the use of co-occurrence matrices for network anomaly detection
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly, 2009In the last few years the number and impact of security attacks over the Internet have been continuously increasing. Since it is impossible to guarantee complete protection to a system by means of the "classical" prevention mechanisms, the use of Intrusion Detection Systems (IDSs) has emerged as a key element in network security.
CALLEGARI, CHRISTIAN +2 more
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Associative face co-occurrence networks for recommending friends in social networks
Proceedings of second ACM SIGMM workshop on Social media, 2010In social network services, which have become widely used as an important tool to share rich information, making new friends is the most basic functionality to enable users to take advantage of their social networks. However, in current social network services, making new friends still relies on manually browsing networks of current friends.
Heung-Nam Kim +2 more
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Concept Learning with Co-occurrence Network for Image Retrieval
2011 IEEE International Symposium on Multimedia, 2011This paper addresses the problem of concept learning for semantic image retrieval. Two types of semantic concepts are introduced in our system: the individual concept and the scene concept. The individual concepts are explicitly provided in a vocabulary of semantic words, which are the labels or annotations in an image database.
Linan Feng, Bir Bhanu
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Bacterial networks and co‐occurrence relationships in the lettuce root microbiota
Environmental Microbiology, 2014Summary Lettuce is one of the most common raw foods worldwide, but occasionally also involved in pathogen outbreaks. To understand the correlative structure of the bacterial community as a network, we studied root microbiota of eight ancient and modern L
Cardinale M. +4 more
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