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Retrieval, Visualization and Validation of Affinities between Documents

Luis Trigo, Martin Víta, Rui Sarmento, Pavel Brazdil
2015 Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management  
Regarding the validation of the method, we analyse the impact of using different combinations of titles, abstracts and keywords on capturing the similarity between researchers.  ...  Our system processes a given set of documents to produce a graph, where nodes represent documents and links the similarities.  ...  Modeling an Applications, University of Ostrava, Czech Republic for cooperation in the process of obtaining the data for validating the system.  ... 
doi:10.5220/0005662904520459 dblp:conf/ic3k/TrigoVSB15 fatcat:3xfyu4pryjexrctipjivllmi7i

Improving Information Retrieval in Multiwriter Scenario by Exploiting the Similarity Graph of Document Terms

Pau Riba, Anjan Dutta, Sounak Dey, Josep Llados, Alicia Fornes
2017 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)  
In document analysis, information retrieval receives a lot of attention in terms of symbol and word spotting.  ...  A graph representing relations between a set of objects is a structure where each node delineates an individual element and the similarity between them is represented as a weight on the connecting edge  ...  -C2-2-R, a FPU fellowship FPU15/06264 from the Spanish Ministerio de Educación, Cultura y Deporte, the Ramon y Cajal Fellowship RYC-2014-16831 and the CERCA Programme/Generalitat de Catalunya.  ... 
doi:10.1109/icdar.2017.84 dblp:conf/icdar/Riba0DLF17 fatcat:idzk22jt55c5lcnqooxioz3s2q

Feature propagation on image webs for enhanced image retrieval

Eric Brachmann, Marcel Spehr, Stefan Gumhold
2013 Proceedings of the 3rd ACM conference on International conference on multimedia retrieval - ICMR '13  
In cases where the visual appearance of semantically similar images differs largely, feature histograms mismatch and the model fails.  ...  The bag-of-features model is often deployed in content-based image retrieval to measure image similarity.  ...  It checks whether locations of matching features between the query and each top retrieval result are consistent by searching affine transformations between feature sets.  ... 
doi:10.1145/2461466.2461472 dblp:conf/mir/BrachmannSG13 fatcat:34uxmwljjzem3brujkijp7gyvq

Intelligent content retrieval using a visual vocabulary and geometric constraints

Evaggelos Spyrou, Yannis Kalantidis, Giorgos Tolias, Phivos Mylonas, Stefanos Kollias
2010 International Conference on Fuzzy Systems  
In this paper we propose an intelligent extension of traditional image analysis methodologies towards more efficient digital content retrieval.  ...  The proposed approach is tested and evaluated on a number of publicly available image datasets and results are very promising.  ...  The authors are with the Image, Video and Multimedia Systems Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou str., 15773, Athens  ... 
doi:10.1109/fuzzy.2010.5584000 dblp:conf/fuzzIEEE/SpyrouKTMK10 fatcat:qk2jsv7zp5btvmc3pkvgk2u77a

Regularizing query-based retrieval scores

Fernando Diaz
2007 Information retrieval (Boston)  
Because of these strong empirical and theoretical results, we argue for the adoption of score regularization as general design principle or post-processing step for information retrieval systems.  ...  Document rankings derived from regularized scores, when compared to rankings derived from un-regularized scores, consistently and significantly result in improved performance given a variety of baseline  ...  Any opinions, findings and conclusions or recommendations expressed in this material are the author's and do not necessarily reflect those of the sponsor.  ... 
doi:10.1007/s10791-007-9034-8 fatcat:mpw2ooowxjfs5kpublrursv7de

Efficient representation of local geometry for large scale object retrieval

Michal Perd'och, Ondrej Chum, Jiri Matas
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
State of the art methods for image and object retrieval exploit both appearance (via visual words) and local geometry (spatial extent, relative pose).  ...  document frequency weights together.  ...  Both the list of documents in the inverted file and the list of visual words in a document are sorted. We com- bine delta coding with efficient Huffman compression.  ... 
doi:10.1109/cvpr.2009.5206529 dblp:conf/cvpr/PerdochCM09 fatcat:f7nsddsuxzf4dl3v6ctoxzs3lm

Efficient representation of local geometry for large scale object retrieval

M. Perd'och, O. Chum, J. Matas
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
State of the art methods for image and object retrieval exploit both appearance (via visual words) and local geometry (spatial extent, relative pose).  ...  document frequency weights together.  ...  Both the list of documents in the inverted file and the list of visual words in a document are sorted. We com- bine delta coding with efficient Huffman compression.  ... 
doi:10.1109/cvprw.2009.5206529 fatcat:7pobkhzwkbbidpg723afjwxzii

Lost in quantization: Improving particular object retrieval in large scale image databases

James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, Andrew Zisserman
2008 2008 IEEE Conference on Computer Vision and Pattern Recognition  
The state of the art in visual object retrieval from large databases is achieved by systems that are inspired by text retrieval.  ...  The set of visual words is obtained by selecting words based on proximity in descriptor space.  ...  We are grateful for support from an EPSRC Platform grant, the Royal Academy of Engineering, EC grant 215078 DIPLECS, and Microsoft.  ... 
doi:10.1109/cvpr.2008.4587635 dblp:conf/cvpr/PhilbinCISZ08 fatcat:pkn52wlmbbfgzplpslrmuxssne

Targeting NM23-H1-mediated Inhibition of Tumour Metastasis in Viral Hepatitis with Bioactive Compounds from Ganoderma lucidum: A Computational Study

S. PRAVEEN KUMAR, A. S. SMILINE GIRIJA, J. VIJAYASHREE PRIYADHARSINI
2020 Indian Journal of Pharmaceutical Sciences  
H1. 3D structure of non-metastatic clone 23, isoform H1 was retrieved from the PDB data bank with further optimization of both the protein and ligands.  ...  In silico binding potential of the selected ligands with non-metastatic clone 23, isoform H1 was determined using the Auto Dock Tool 2.0 and visualized with Bio via discovery studio visualizing tool to  ...  Experimental validation in vivo and in vitro would further substantiate the theoretical evidence obtained from NM23-H1 indicated that there was a direct relationship between the energy of the binding affinity  ... 
doi:10.36468/pharmaceutical-sciences.650 fatcat:wlek3jecyzesfd4rmujsho3d3a

MADIS: A Multimedia-Aided Disaster Information Integration System for Emergency Management

Yimin Yang, Wenting Lu, Jesse Domack, Tao Li, Shu-Ching Chen, Steven Luis, Jainendra Navlakha
2012 Proceedings of the 8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing  
With the proliferation of smart devices, disaster responders and community residents are capturing footage, pictures and video of the disaster area with mobile phones and wireless tablets.  ...  images as well as the affinity among images.  ...  and implies the cooperation of domain knowledge, the MMM model is refined to keep just the affinity matrix to describe the relationship between image pairs.  ... 
doi:10.4108/icst.collaboratecom.2012.250525 dblp:conf/colcom/YangLDLCLN12 fatcat:d4mxyoowwfbuxgbzkxmhep6f2m

2D CAD Data Mining Based on Spatial Relation

Hiroaki Kizu, Junko Yamamoto, Takeshi Takeda, Keiji Gyohten, Naomichi Sueda
2009 2009 10th International Conference on Document Analysis and Recognition  
In the second step, valid semantic elements are specified by eliminating geometrically unnecessary figure elements through inferring every affine transformation between sets of figure elements having the  ...  Our method consists of two steps. The first step is to extract frequent spatial relations between figure elements in CAD data as clues to the semantic elements.  ...  The CAD data was made with Microsoft Visio and the kernel and GUI of our system were programmed with Visual C++ and Visual Basic under Windows Vista environment.  ... 
doi:10.1109/icdar.2009.156 dblp:conf/icdar/KizuYTGS09 fatcat:udcl66yqivdjhecow4qgl5pove

Embedding Document Structure to Bag-of-Words through Pair-wise Stable Key-Regions

Hongxing Gao, Marcal Rusinol, Dimosthenis Karatzas, Josep Llados
2014 2014 22nd International Conference on Pattern Recognition  
Alternatively, representing documents as groups of local feature vectors provides ways to address the affine transformation problem and allows for performing either full page or part-based image retrieval  ...  However, generally speaking, the document images can be described and represented by either their textual content [1] , their visual appearance [2] ,or their layout structure [3] , [4] .  ... 
doi:10.1109/icpr.2014.500 dblp:conf/icpr/GaoRKL14 fatcat:psvvm4vb5rehbiozjvo7f5tikm

A Contextual Inquiry: FDA Investigational New Drug Clinical Review

Jonathan Bidwell, Kara Whelply, Sophia Shepard, John Hariadi
2021 AMIA Annual Symposium Proceedings  
Individual reviewers faced notable challenges while attempting to search, transfer, compare, consolidate and reference content between multiple documents.  ...  The review process would likely benefit from the development of software tools for both addressing these problems and fostering existing knowledge sharing behaviors within individual and group settings  ...  Food and Administration, Center for Drug Evaluation and Research, administered by ORAU through the U.S. Department of Energy Oak Ridge Institute for Science and Education.  ... 
pmid:34457126 pmcid:PMC8378631 fatcat:nbixwowwqzcxpjimguyqrrdcme

Cross-Modal Hashing by lp -Norm Multiple Subgraph Combination

Dongxiao Ren, Junwei Huang, Zhonghua Wang, Fang Lu
2021 IEEE Access  
With the explosion of multi-modal Web data, effective and efficient techniques are in urgent need for cross-modal data retrieval with relevant semantics.  ...  Specifically, by jointly considering the content similarity, the correspondence and other weak correlation among cross-modal documents, we build the intra-modal similarity with multiple affinity subgraphs  ...  For Text→Image retrieval, the semantic gap between queries and visual data can be alleviated by modeling the intramodal visual affinity using feature combinations of database documents. V.  ... 
doi:10.1109/access.2021.3052605 fatcat:budiej6vsvfvtki2pu2uzjudii

Handling temporal heterogeneous data for content-based management of large video collections

Nicolas Moënne-Loccoz, Bruno Janvier, Stéphane Marchand-Maillet, Eric Bruno
2006 Multimedia tools and applications  
Video document retrieval is now an active part of the domain of multimedia retrieval.  ...  In parallel, the domain of content-based multimedia retrieval has developed, initially from text retrieval, then for images and now addressing video content retrieval.  ...  We take the temporal dimension as a feature common to all modalities (visual, audio, textual) and exploit this property to create relations between pieces of information.  ... 
doi:10.1007/s11042-006-0042-2 fatcat:oxv6cr6msvhz3hef2ldkofgipy
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