Results 261 to 270 of about 10,141,257 (299)

Co-Occurrence Neural Network

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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Proposal of Chance Index in Co‐occurrence Network

Electronics and Communications in Japan, 2015
SUMMARYThis 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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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, 2009
In 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, GIORDANO, STEFANO, PAGANO, MICHELE   +2 more
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Co-occurrence analysis of scientific documents in citation networks

International Journal of Knowledge-based and Intelligent Engineering Systems, 2020
Citation 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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Associative face co-occurrence networks for recommending friends in social networks

Proceedings of second ACM SIGMM workshop on Social media, 2010
In 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, Jin-Guk Jung, Abdulmotaleb El Saddik   +2 more
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Concept Learning with Co-occurrence Network for Image Retrieval

2011 IEEE International Symposium on Multimedia, 2011
This 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, 2014
Summary 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., Grube M., Erlacher A., Quehenberger J., Berg G.   +4 more
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A theory for species co-occurrence in interaction networks

Theoretical Ecology, 2015
The study of species co-occurrences has been central in community ecology since the foundation of the discipline. Co-occurrence data are, nevertheless, a neglected source of information to model species distributions and biogeographers are still debating about the impact of biotic interactions on species distributions across geographical scales.
Cazelles, Kévin, Araújo, Miguel, Mouquet, Nicolas, Gravel, Dominique   +3 more
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Discovering Significant Co-Occurrences to Characterize Network Behaviors

2018
A key aspect of computer network defense and operations is the characterization of network behaviors. Several of these behaviors are a result of indirect interactions between various networked entities and are temporal in nature. Modeling them requires non-trivial and scalable approaches.
Kristine Arthur-Durett, Thomas E. Carroll, Satish Chikkagoudar   +2 more
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Term co-occurrence-based corpus network

30th Annual Conference of IEEE Industrial Electronics Society, 2004. IECON 2004, 2005
This paper draws the term nodes and their links in corpus network based on term co-occurrence, and resultantly grasps its properties, using the mathematical graphs and the network-related physical measures. The topological processing of singular value decomposition (SVD), which compresses a large amount of co-occurrence information into a much smaller ...
null Jung-Hee Park, null Jeong-Hyun Kim, null Seong-Bae Park, null Sang-Jo Lee   +3 more
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