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Author |
Jaume Amores |
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Title |
Multiple Instance Classification: review, taxonomy and comparative study |
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Year |
2013 |
Publication |
Artificial Intelligence |
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AI |
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Volume |
201 |
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81-105 |
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Multi-instance learning; Codebook; Bag-of-Words |
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Multiple Instance Learning (MIL) has become an important topic in the pattern recognition community, and many solutions to this problemhave been proposed until now. Despite this fact, there is a lack of comparative studies that shed light into the characteristics and behavior of the different methods. In this work we provide such an analysis focused on the classification task (i.e.,leaving out other learning tasks such as regression). In order to perform our study, we implemented
fourteen methods grouped into three different families. We analyze the performance of the approaches across a variety of well-known databases, and we also study their behavior in synthetic scenarios in order to highlight their characteristics. As a result of this analysis, we conclude that methods that extract global bag-level information show a clearly superior performance in general. In this sense, the analysis permits us to understand why some types of methods are more successful than others, and it permits us to establish guidelines in the design of new MIL
methods. |
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Elsevier Science Publishers Ltd. Essex, UK |
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0004-3702 |
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ADAS; 601.042; 600.057 |
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Admin @ si @ Amo2013 |
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2273 |
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Author |
Anton Cervantes; Gemma Sanchez; Josep Llados; Agnes Borras; Ana Rodriguez |
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Title |
Biometric Recognition Based on Line Shape Descriptors |
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2006 |
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Lecture Notes in Computer Science |
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3926 |
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346–357, |
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Abstract. In this paper we propose biometric descriptors inspired by shape signatures traditionally used in graphics recognition approaches. In particular several methods based on line shape descriptors used to iden- tify newborns from the biometric information of the ears are developed. The process steps are the following: image acquisition, ear segmentation, ear normalization, feature extraction and identification. Several shape signatures are defined from contour images. These are formulated in terms of zoning and contour crossings descriptors. Experimental results are presented to demonstrate the effectiveness of the used techniques. |
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DAG @ dag @ CSL2006 |
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685 |
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Author |
Ernest Valveny; Philippe Dosch |
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Title |
A general framework for the evaluation of symbol recognition methods |
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2006 |
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International Journal on Document Analysis and Recognition |
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DAG @ dag @ VaD2006 |
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686 |
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Philippe Dosch; Ernest Valveny |
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Title |
Report on the Second Symbol Recognition Contest |
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2006 |
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Graphics Recognition: Ten Years Review and Future Perspectives, W. Liu, J. Llados (Eds.), LNCS 3926: 381–397 |
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DAG @ dag @ DoV2006 |
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691 |
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Author |
Alicia Fornes; Josep Llados; Gemma Sanchez |
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Title |
Primitive Segmentation in Old Handwritten Music Scores |
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2006 |
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Graphics Recognition: Ten Years Review and Future Perspectives, W. Liu, J. Llados (Eds.), LNCS 3926: 288–299 |
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DAG @ dag @ FLS2006 |
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697 |
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Author |
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
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Title |
An Iterative Multiresolution Scheme for SFM |
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Conference Article |
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2006 |
Publication |
International Conference on Image Analysis and Recognition |
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ICIAR 2006 |
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LNCS 4141 |
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1 |
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804–815 |
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ADAS @ adas @ JSL2006c |
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704 |
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Author |
Agata Lapedriza; David Masip; Jordi Vitria |
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Title |
On the Use of External Face Features for Identity Verification |
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2006 |
Publication |
Journal of Multimedia, 1(4): 11–20 |
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1 |
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4 |
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11-20 |
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Face Verification, Computer Vision, Machine Learning |
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In general automatic face classification applications images are captured in natural environments. In these cases, the performance is affected by variations in facial images related to illumination, pose, occlusion or expressions. Most of the existing face classification systems use only the internal features information, composed by eyes, nose and mouth, since they are more difficult to imitate. Nevertheless, nowadays a lot of applications not related to security are developed, and in these cases the information located at head, chin or ears zones (external features) can be useful to improve the current accuracies. However, the lack of a natural alignment in these areas makes difficult to extract these features applying classic Bottom-Up methods. In this paper, we propose a complete scheme based on a Top-Down reconstruction algorithm to extract external features of face images. To test our system we have performed face verification experiments using public databases, given that identity verification is a general task that has many real life applications. We have considered images uniformly illuminated, images with occlusions and images with high local changes in the illumination, and the obtained results show that the information contributed by the external features can be useful for verification purposes, specially significant when faces are partially occluded. |
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OR;MV |
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BCNPCL @ bcnpcl @ LMV2006b |
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708 |
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Author |
Joan Mas; Gemma Sanchez; Josep Llados |
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Title |
An Incremental Parser to Recognize Diagram Symbols and Gestures represented by Adjacency Grammars |
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2006 |
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Graphics Recognition: Ten Years Review and Future Perspectives, W. Liu, J. Llados (Eds.), LNCS 3926: 252–263 |
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711 |
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Author |
Oriol Ramos Terrades |
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Title |
Linear Combination of Multiresolution Descriptors: Application to Graphics Recognition |
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2006 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC & Universite Nancy 2 |
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Ph.D. thesis |
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Salvatore Antoine Tabbone;Ernest Valveny |
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713 |
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Bogdan Raducanu; Jordi Vitria |
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A Robust Particle Filter-Based Face Tracker Using Combination of Color and Geometric Information |
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2006 |
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International Conference on Image Analysis and Recognition (ICIAR´06), LNCS 4141 (A. Campilho et al., eds.), 1: 922–933 |
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BCNPCL @ bcnpcl @ RaV2006c |
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715 |
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Author |
Marçal Rusiñol; Josep Llados |
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Title |
Symbol Spotting in Technical Drawings Using Vectorial Signatures |
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2006 |
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Graphics Recognition: Ten Years Review and Future Perspectives, W. Liu, J. Llados (Eds.), LNCS 3926: 35–46 |
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DAG @ dag @ RuL2006a |
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719 |
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Angel Sappa |
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Title |
Splitting up Panoramic Range Images into Compact 2½D Representations |
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2006 |
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International Journal of Imaging Systems and Technology, 16(3): 85–91 |
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721 |
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Jordi Vitria; M. Bressan; Petia Radeva |
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Bayesian classification of cork stoppers using class-conditional independent component analysis |
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2006 |
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IEEE Transactions on Systems, Man and Cybernetics (Part C), 36(6) |
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BCNPCL @ bcnpcl @ VBR2006 |
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723 |
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Salim Jouili; Salvatore Tabbone; Ernest Valveny |
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Comparing Graph Similarity Measures for Graphical Recognition |
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2010 |
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Graphics Recognition. Achievements, Challenges, and Evolution. 8th International Workshop, GREC 2009. Selected Papers |
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6020 |
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In this paper we evaluate four graph distance measures. The analysis is performed for document retrieval tasks. For this aim, different kind of documents are used including line drawings (symbols), ancient documents (ornamental letters), shapes and trademark-logos. The experimental results show that the performance of each graph distance measure depends on the kind of data and the graph representation technique. |
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Springer Berlin Heidelberg |
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0302-9743 |
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978-3-642-13727-3 |
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GREC |
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Admin @ si @ JTV2010 |
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Fadi Dornaika; Franck Davoine |
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On appearance based face and facial action tracking |
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2006 |
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IEEE Transactions on Circuits and Systems for Video Technology, 16(9): 1838–1853 |
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