Results 241 to 250 of about 2,663,717 (282)

Context-Aware Feature Selection and Classification

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
We propose a joint model that performs instance-level feature selection and classification. For a given case, the joint model first skims the full feature vector, decides which features are relevant for that case, and makes a classification decision using only the selected features, resulting in compact, interpretable, and case-specific classification ...
Juanyan Wang, Mustafa Bilgic 0001
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Context-aware query classification

Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, 2009
Understanding users'search intent expressed through their search queries is crucial to Web search and online advertisement. Web query classification (QC) has been widely studied for this purpose. Most previous QC algorithms classify individual queries without considering their context information.
Huanhuan Cao, Derek Hao Hu, Dou Shen, Daxin Jiang, Jian-Tao Sun, Enhong Chen, Qiang Yang 0001   +6 more
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Content aware classification method

2012 9th International Conference on Communications (COMM), 2012
The content aware (CA) packet classification and processing at network level is a new approach leading to significant increase of delivery quality of the multimedia traffic in Internet. This paper continues a previous work on CA traffic classification. It proves that theoretical model of inserting new packet fields for content aware classification can ...
Radu-Dinel Miruta, Cosmin Stanuica, Eugen Borcoci   +2 more
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Arrhythmia Classification with Heartbeat-Aware Transformer

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Electrocardiography (ECG) is a conventional method in arrhythmia diagnosis. In this paper, we proposed a novel neural network model which treats typical heartbeat classification task as ‘Translation’ problem. By introducing Transformer structure into model, and adding heartbeat-aware attention mechanism to enhance the alignment between encoded sequence
Bin Wang, Chang Liu, Chuanyan Hu, Xudong Liu 0004, Jun Cao   +4 more
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Safety-Aware Semi-Supervised Classification

IEEE Transactions on Neural Networks and Learning Systems, 2013
Though semi-supervised classification learning has attracted great attention over past decades, semi-supervised classification methods may show worse performance than their supervised counterparts in some cases, consequently reducing their confidence in real applications.
Yunyun Wang, Songcan Chen
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Personalized Privacy-aware Image Classification

Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016
Information sharing in online social networks is a daily practice for billions of users. The sharing process facilitates the maintenance of users' social ties but also entails privacy disclosure in relation to other users and third parties. Depending on the intentions of the latter, this disclosure can become a risk.
Eleftherios Spyromitros Xioufis, Symeon Papadopoulos, Adrian Popescu 0001, Yiannis Kompatsiaris   +3 more
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Location-Aware Image Classification

2016
Currently, the most popular image classification methods are based on global image representations. They face an obvious contradiction between the uncertainty of object position and the global image representation. In this paper, we propose a novel location-aware image classification framework to address this problem.
Xinggang Wang, Xin Yang 0008, Wenyu Liu 0001, Chen Duan, Longin Jan Latecki   +4 more
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File-aware P2P traffic classification

2011 IEEE GLOBECOM Workshops (GC Wkshps), 2011
As the enormous growth in the number of P2P applications in recent years, ISPs are striving to balance between (1) providing the basic networking service for P2P users, and (2) properly managing network bandwidth usage. In terms of the first aspect, it requires ISPs to provide enough bandwidth for a P2P user to get each file in order to satisfy basic ...
Zhou Zhou 0007, Tian Song
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Discrimination aware classification for imbalanced datasets

Proceedings of the 22nd ACM international conference on Information & Knowledge Management, 2013
The problem of learning a discrimination aware model has recently received attention in the data mining community. Various methods and improved models have been proposed, with the main approach being the detection of a discrimination sensitive attribute.
Goce Ristanoski, Wei Liu 0007, James Bailey 0001   +2 more
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Privacy-aware image classification and search

Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval, 2012
Modern content sharing environments such as Flickr or YouTube contain a large amount of private resources such as photos showing weddings, family holidays, and private parties. These resources can be of a highly sensitive nature, disclosing many details of the users' private sphere.
Sergej Zerr, Stefan Siersdorfer, Jonathon S. Hare, Elena Demidova   +3 more
openaire   +1 more source