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Filters
How to merge three different methods for information filtering ?
[article]
2015
arXiv
pre-print
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Mainly we investigate on how much merging strategies may impact performances on a filtering task according to the evaluation measure. ...
We propose three approaches to tackle the first issue: monitoring Twitter in order to find relevant tweets about a given entity. ...
We propose three approaches to filter tweets on whether or not they refer to a given entity. ...
arXiv:1510.07385v1
fatcat:ey5zvmtfcvbgpdatde4c4zceim
MIRACLE-FI at ImageCLEFphoto 2008: Experiences in merging Text-based and Content-based Retrievals
2008
Conference and Labs of the Evaluation Forum
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From the MIRACLE last year experience, we implemented a new merging module combining the text-based and the content-based information in three different ways: FILTER-N, ENRICH and TEXT-FILTER. ...
From these results we were going to try to improve merged results by clustering methods applied to this image collection. ...
-67407-C03-03; by the Madrid R+D Regional Plan, by means of the project MAVIR (Enhancing the Access and the Visibility of Networked Multilingual Information for the Community of Madrid), S-0505/TIC/000267 ...
dblp:conf/clef/GranadosBGG08
fatcat:wcvoamcpz5durkso74u6chbsqy
CreaDO -- A Methodology to Create Domain Ontologies Using Parameter-Based Ontology Merging Techniques
2011
2011 10th Mexican International Conference on Artificial Intelligence
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CreaDO focuses on performing a parameter-based ontology merge that allows the creation of a domain ontology only with relevant information for the ontology purpose. ...
Domain ontologies can be used for different purposes; one of them is the development of semantic search engines that obtain precise results by considering the meaning of the Web content. ...
They also discuss how to extend the merge algorithm by providing auxiliary information, such as additional relationships among source and target concepts, in order to semantically improve the final result ...
doi:10.1109/micai.2011.39
fatcat:pgw56knlbneuvo7slkd23uhg2q
Sentence Clustering Using Parts-of-Speech
2012
International Journal of Information Engineering and Electronic Business
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We demonstrate the features of this algorithm by implementing it in a question type classification system, in order to determine the positive or negative impact of different changes to the algorithm. ...
The algorithm generates and merges together the clusters using a syntactic similarity metric based on a hierarchical organization of the parts-of-speech. ...
Fig 7 : 7 Performance of the second quality evaluation method for different merger bonus values, with (solid grey line) and without (dotted black line) the final filtering step. ...
doi:10.5815/ijieeb.2012.01.01
fatcat:sppeoncup5dvpo6s7wccnw6lta
AViTExt: Automatic Video Text Extraction; A new Approach for video content indexing Application
2008
2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications
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The temporal redundancy is then used to filter these regions and forms an effective text region. ...
A significant difference between homologous blocks implies the appearance of an important object which may be a text region. ...
For that this filtering process is based on three criteria: the size of region, the contrast variation and the temporal redundancy. ...
doi:10.1109/ictta.2008.4530004
fatcat:qj7ngun5y5ahte5ewc7q4nompq
AViTExt: Automatic Video Text Extraction, A new Approach for video content indexing Application
[article]
2013
arXiv
pre-print
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The temporal redundancy is then used to filter these regions and forms an effective text region. ...
A significant difference between homologous blocks implies the appearance of an important object which may be a text region. ...
For that this filtering process is based on three criteria: the size of region, the contrast variation and the temporal redundancy. ...
arXiv:1301.2173v1
fatcat:oy2fmo4k4vhyzh7pgp3jnpvota
Heterogeneous Map Merging: State of the Art
2019
Robotics
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The resulting maps from robots with different specifications are heterogeneous, and eventhough some research on how to merge fundamentally different maps exists, it is limited to specificapplications. ...
While theexisting robot map and environment model merging techniques allow merging certain homogeneousmaps, the possibility to use sensors of different physical nature and different mapping algorithms ...
In the map merging regarding particle filters, a decision must be made how to handle the particle merging. Ballesta et al. [55] merges only the most probable particles, Ozkucur et al. ...
doi:10.3390/robotics8030074
fatcat:ihjxmwgozvfq7kizwm67u5xseq
Merge Method for Shape-Based Clustering in Time Series Microarray Analysis
[chapter]
2012
Lecture Notes in Computer Science
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This paper proposes a novel merge method to accomplish this goal obtaining clusters with highly correlated genes. ...
The main idea of the proposed method is to generate a clustering, starting from clusterings created from different time series individually, that takes into account the number of times each clustering ...
Conclusions and Future Work A clustering merge method was proposed to combine the information provided by different time series for time-course microarray analysis. ...
doi:10.1007/978-3-642-32639-4_99
fatcat:igy6vqixgbb5naauvegcet5k3q
Comparison between Mallat's and the 'à trous' discrete wavelet transform based algorithms for the fusion of multispectral and panchromatic images
2005
International Journal of Remote Sensing
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In spite of its a priori lower theoretical mathematical suitability to extract detail in a multiresolution scheme, the 'à trous' algorithm has worked out better than Mallat's algorithm for image merging ...
All these have been used to merge Ikonos multispectral and panchromatic spatially degraded images. ...
This implies that for each spectral band we obtain three merged bands coming from the different RGB compositions. ...
doi:10.1080/01431160512331314056
fatcat:5ucclnxlxfc4rhnyv6lmuvryom
Spatial and Color Spaces Combination for Natural Scene Text Extraction
2006
2006 International Conference on Image Processing
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To merge text pixels together, complementary clustering distances are used to support simultaneously clear and well-contrasted images with complex and degraded images. ...
Moreover, a new method is proposed in this paper to handle uneven lighting, blur and complex backgrounds which are inherent degradations to natural scene images. ...
[3] use an entropy-based thresholding on each RGB color channel for several video frames and based on the silhouette criterion experienced in Section 6, the three subimages are merged to constitute ...
doi:10.1109/icip.2006.312653
dblp:conf/icip/Mancas-ThillouG06
fatcat:ymh3eqan35hftp7tuxesjtzwuq
A Multistage Motion Vector Processing Method for Motion-Compensated Frame Interpolation
2008
IEEE Transactions on Image Processing
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The motion vector reliability information is also used as a prior knowledge in motion vector refinement using a constrained vector median filter to avoid choosing identical unreliable one. ...
We also propose using chrominance information in our method. ...
Unlike the methods in [11] , which uses prediction difference as the weighting factor for each MV in vector median filter, our method simply does not use those neighboring unreliable MVs. ...
doi:10.1109/tip.2008.919360
pmid:18390375
fatcat:g2majxvrnvaflgjngxtkxa4wxm
Towards accurate detection and genotyping of expressed variants from whole transcriptome sequencing data
2011
2011 IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS)
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Conclusions: Experimental results on RNA-Seq data generated from blood cell tissue of three Hapmap individuals show that our methods yield increased accuracy compared to several widely used methods. ...
Massively parallel transcriptome sequencing (RNA-Seq) is becoming the method of choice for studying functional effects of genetic variability and establishing causal relationships between genetic variants ...
Figure 5 : 5 SNVQ genotyping accuracy for three different filtering strategies applied to NA12878 hard merged alignments. Results obtained without filtering are included for comparison. ...
doi:10.1109/iccabs.2011.5729949
dblp:conf/iccabs/DuitamaSM11
fatcat:l6pv5s5yvndrpkwyiiuyqgkhie
FHCC : A Soft Hierarchical Clustering Approach for Collaborative Filtering Recommendation
2016
International Journal of Data Mining & Knowledge Management Process
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data for collaborative filtering recommendation. ...
Besides, FHCC is able to adapt to different types of applications according to the accessibility of data sources by carefully adjust the weights of different data sources. ...
We have explicitly shown how our method can be coupled with a recommendation system that merges derived co-clusters and individual customer information, as well as the product properties for ranked recommendations ...
doi:10.5121/ijdkp.2016.6303
fatcat:byn2nvw53zfznd67ncckbyno3e
Towards accurate detection and genotyping of expressed variants from whole transcriptome sequencing data
2012
BMC Genomics
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Conclusions: Experimental results on RNA-Seq data generated from blood cell tissue of three Hapmap individuals show that our methods yield increased accuracy compared to several widely used methods. ...
Massively parallel transcriptome sequencing (RNA-Seq) is becoming the method of choice for studying functional effects of genetic variability and establishing causal relationships between genetic variants ...
Figure 5 5 SNVQ genotyping accuracy for three different filtering strategies applied to NA12878 hard merged alignments. Results obtained without filtering are included for comparison. ...
doi:10.1186/1471-2164-13-s2-s6
pmid:22537301
pmcid:PMC3394419
fatcat:mldaf5x6ovb7pfuuhnyodog5nq
Pansharpening of High and Medium Resolution Satellite Images Using Bilateral Filtering
[chapter]
2010
Lecture Notes in Computer Science
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To assess the fusion process, we use six quality indexes, that confirm, along with visual analysis, good overall results for the three sensors. ...
We provide and evaluate a fusion algorithm of remotely sensed images, i.e. the fusion of a panchromatic (PAN) image with a multi-spectral (MS) image using bilateral filtering, applied to images of three ...
To combine these two components it is necessary to define an injection model to establish how high frequency information will be merged with the MS bands. ...
doi:10.1007/978-3-642-16687-7_43
fatcat:gibypf2nk5fzbkda2lcakr62h4
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