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CMIB: Unsupervised Image Object Categorization in Multiple Visual Contexts

Xiaoqiang Yan, Yangdong Ye, Xueying Qiu, Milos Manic, Hui Yu
2019 IEEE Transactions on Industrial Informatics  
Then, the idea of the data compression procedure for object category discovery is proposed, in which the content and multiple visual contexts are maximally preserved through a "bottleneck".  ...  Index Terms-Object category discovery, visual contexts, information bottleneck, mutual information, Bayesian networks.  ...  clustering (CTSC) [19] , robust multi-view spectral clustering (RMSC) [21] and multivariate information bottleneck (MIB) [27] . 5) Image clustering methods: local discriminant models and global integration  ... 
doi:10.1109/tii.2019.2939278 fatcat:zwnrhv64cnhh7eyvqbvwhplsxu

Parametric Distributional Clustering for Image Segmentation [chapter]

Lothar Hermes, Thomas Zöller, Joachim M. Buhmann
2002 Lecture Notes in Computer Science  
From the viewpoint of exploratory data analysis, segmentation can be formulated as a clustering problem in which pixels or small image patches are grouped together based on local feature information.  ...  Moreover, there exists an insightful connection to the novel information theoretic concept of the Information Bottleneck (Tishby et al. [17] ), which emphasizes the compromise between efficient coding  ...  Tishby for various discussions on the bottleneck framework for learning. We also thank J. Puzicha for valuable contributions at the beginning of this project.  ... 
doi:10.1007/3-540-47977-5_38 fatcat:woixbromfnboxc5sn2nwuk3hlm

Shared-private Information Bottleneck Method for Cross-modal Clustering

Xiaoqiang Yan, Yangdong Ye, Yiqiao Mao, Hui Yu
2019 IEEE Access  
INDEX TERMS Cross-modal clustering, information bottleneck, mutual information, knowledge graph, social images.  ...  To address this problem, we propose a novel shared-private information bottleneck (SPIB) method for crossmodal clustering.  ...  spectral clustering [2] , multi-view nonnegative matrix factorization [17] , robust multi-view k-means [18] .  ... 
doi:10.1109/access.2019.2904554 fatcat:nzjins6k4rfd3atralf23vhwlq

Generating 'Omic Knowledge': The Role of Informatics in High Content Screening

Mark Collins
2009 Combinatorial chemistry & high throughput screening  
High Content Screening (HCS) and High Content Analysis (HCA) have emerged over the past 10 years as a powerful technology for both drug discovery and systems biology.  ...  Founded on the automated, quantitative image analysis of fluorescently labeled cells or engineered cell lines, HCS provides unparalleled levels of multi-parameter data on cellular events and is being widely  ...  value for providing context.  ... 
doi:10.2174/138620709789383259 pmid:19531005 pmcid:PMC2885606 fatcat:unnxnl4bijd6jg6rwfrwgx4eqq

Performance Anomaly Detection and Bottleneck Identification

Olumuyiwa Ibidunmoye, Francisco Hernández-Rodriguez, Erik Elmroth
2015 ACM Computing Surveys  
The definitive version was published in ACM Computing Surveys, VOL. 48, ISS. 1, June 2015 http://dx.Auxiliary Materials (provide filenames and a description of auxiliary content, if any, for display in  ...  It is posted here by permission of ACM for your personal use. Not for redistribution.  ...  Information Theoretic Techniques Information theory provides many measures for estimating the degree of dispersal or concentration of the information content of a data set [122] .  ... 
doi:10.1145/2791120 fatcat:yajvevdzl5h6tc6ii5sjd7qzlm

A Survey and Analysis of Techniques and Tools for Web Performance Optimization

Shailesh Shivakumar, P. V. Suresh
2018 Journal of Information Organization  
In the final sections we will look at the emerging trends and scope for future research areas in WPO.  ...  Page content belonging to the cluster will be prefetched.  ...  CDN Level Cache CDN can mostly cache static global assets such as images, videos, static web content, static pages, multi-media files, JS/CSS files and such content.  ... 
doi:10.6025/jio/2018/8/2/31-57 fatcat:ejiz5kmusfcvjihk442pbarwd4

Image Retrieval and Re-Ranking Techniques - A Survey

Mayuri D. Joshi, Revati M. Deshmukh, Kalashree N.Hemke, Ashwini Bhake, Rakhi Wajgi
2014 Signal & Image Processing An International Journal  
The technique leaves no ambiguities as we consider only the variant characteristics or modalities, in order to gain the image and video retrieval.  ...  This re-ranking process aids the mutual transfer of information across multiple modalities to improvise search performance to facilitate authentic searching.  ...  Hsu et al, [5] , employed information bottleneck (IB) re-ranking to find the clustering of images that preserves the maximal mutual information between the search relevance and visual features.  ... 
doi:10.5121/sipij.2014.5201 fatcat:gusz6wizpbgsfgjt6asf7s44fi

Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture [article]

Rüdiger Schmitz, Frederic Madesta, Maximilian Nielsen, Jenny Krause, René Werner, Thomas Rösch
2021 Medical Image Analysis   accepted
Additionally, a context classification gate block is proposed as an alternative for the incorporation of global context.  ...  To explicitly mimic how human pathologists combine multi-scale information, we introduce a family of multi-encoder FCNs with deep fusion.  ...  In addition, the authors are grateful toward Hinnerk Stüben for his excellent technical support and toward Claus Hilgetag for proofreading and valuable discussions.  ... 
doi:10.1016/ pmid:33647783 arXiv:1909.10726v3 fatcat:n6wt6uj3urc7zcfn6qf6juzade

Multi-Person Pose Estimation with Enhanced Feature Aggregation and Selection [article]

Xixia Xu, Qi Zou, Xue Lin
2020 arXiv   pre-print
Then, we perform a simple Feature Fusion (FF) strategy which effectively fuses high-resolution spatial features and low-resolution semantic features to obtain more reliable context information for well-estimated  ...  We propose a novel Enhanced Feature Aggregation and Selection network (EFASNet) for multi-person 2D human pose estimation.  ...  It can be viewed as a process of adaptively selecting the significant information for the human among different feature maps.  ... 
arXiv:2003.10238v1 fatcat:uwdgvyg65be5lozplyu4hgzjli

Leveraging Collaborative Content Exchange for On-Demand VM Multi-deployments in IaaS Clouds [chapter]

Bogdan Nicolae, M. Mustafa Rafique
2013 Lecture Notes in Computer Science  
A common pattern in this context is multi-deployment, i.e., using the same VM image template to instantiate a large number of VMs in parallel.  ...  A difficult trade-off arises in this context: access the content of the template on-demand but slowly due to I/O bottlenecks or pre-broadcast the full contents of the template on the local storage of the  ...  For the purpose of this work, We reserved 100 nodes of the graphene cluster.  ... 
doi:10.1007/978-3-642-40047-6_32 fatcat:m5jn4c5wyzg3xjrbkxyvku2nie

Image Time-Series Data Mining Based on the Information-Bottleneck Principle

Lionel Gueguen, Mihai Datcu
2007 IEEE Transactions on Geoscience and Remote Sensing  
Index Terms-Gibbs-Markov random field, information bottleneck, satellite image time series (SITS), soft clustering, unsupervised clustering.  ...  This paper addresses the problem of extracting relevant information from SITS based on the information-bottleneck principle.  ...  Raney (Johns Hopkins University) for contributing to the clarity in the presented concepts, and of K. Seidel (ETH Zurich) for the discussions about information mining.  ... 
doi:10.1109/tgrs.2006.890557 fatcat:vnlsszlgh5alrbyskbtkulmz24

Coordinated multi-streaming for 3D tele-immersion

David E. Ott, Ketan Mayer-Patel
2004 Proceedings of the 12th annual ACM international conference on Multimedia - MULTIMEDIA '04  
application clusters.  ...  Results underscore the importance of consistency in network information across flows for realizing dramatic improvements in frame arrival synchrony.  ...  This situation might occur, for example, when compression is applied by individual endpoints on frames that differ somewhat in image content.  ... 
doi:10.1145/1027527.1027669 dblp:conf/mm/OttM04 fatcat:u2b3eqydmvflpbfsaksrnce6n4

Multi-scale Convolutional Neural Networks for Classification of Digital Mammograms with Breast Calcifications

Chatsuda Songsaeng, Piyanoot Woodtichartpreecha, Sitthichok Chaichulee
2021 IEEE Access  
Multi-scale representation liaises a variety of receptive fields to understand both object and context of interest which is of great importance for image analysis tasks.  ...  A single view alone might not provide all the information needed for interpretation. Suspicious lesions may sometimes appear in the CC view but not in the MLO view.  ... 
doi:10.1109/access.2021.3104627 fatcat:5jrejm62gjhlththg53hszs3qi

Combining Multi-modal Features for Social Media Analysis [chapter]

Spiros Nikolopoulos, Eirini Giannakidou, Ioannis Kompatsiaris, Ioannis Patras, Athena Vakali
2011 Social Media Modeling and Computing  
Tagged images taken from social sites have been used in the characteristic scenarios of image clustering and retrieval, to demonstrate the benefits of multi-modal analysis in social media.  ...  In this chapter we discuss methods for efficiently modeling the diverse information carried by social media.  ...  Acknowledgements This work was sponsored by the European Commission as part of the Information Society Technologies (IST) programme under grant agreement n215453 -WeKnowIt and the contract FP7-248984 GLOCAL  ... 
doi:10.1007/978-0-85729-436-4_4 fatcat:c5rsc2fi5zcglcmgtvsa5b6fca

Variational Distillation for Multi-View Learning [article]

Xudong Tian, Zhizhong Zhang, Cong Wang, Wensheng Zhang, Yanyun Qu, Lizhuang Ma, Zongze Wu, Yuan Xie, Dacheng Tao
2022 arXiv   pre-print
Information Bottleneck (IB) based multi-view learning provides an information theoretic principle for seeking shared information contained in heterogeneous data descriptions.  ...  In this paper, we design several variational information bottlenecks to exploit two key characteristics (i.e., sufficiency and consistency) for multi-view representation learning.  ...  In this paper, we propose a new multi-view information bottleneck strategy, named as Multi-View Variational Distillation (MV 2 D), for generalized multi-view representation learning.  ... 
arXiv:2206.09548v1 fatcat:s7xkp554trcdvluhcgkcrs3b64
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