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Author |
Cristina Cañero; Petia Radeva |
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Title |
Vesselness enhancement diffusion |
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Journal Article |
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Year |
2003 |
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Pattern Recognition Letters |
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PRL |
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Volume |
24 |
Issue |
16 |
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3141–3151 |
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Abstract |
IF: 0.809 |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ CaR2003 |
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371 |
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Author |
David Guillamet; Jordi Vitria |
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Title |
Evaluation of distance metrics for recognition based on non-negative matrix factorization |
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Journal Article |
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Year |
2003 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
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Volume |
24 |
Issue |
9-10 |
Pages |
1599 –1605 |
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IF: 0.809 |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ GuV2003b |
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380 |
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Author |
David Guillamet; Jordi Vitria; B. Shiele |
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Title |
Introducing a weighted non-negative matrix factorization for image classification |
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Journal Article |
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Year |
2003 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
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Volume |
24 |
Issue |
14 |
Pages |
2447–2454 |
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IF: 0.809 |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ GVS2003 |
Serial |
382 |
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Author |
A. Sanfeliu; Juan J. Villanueva |
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Title |
An approach of visual motion analysis |
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Journal Article |
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Year |
2005 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
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Volume |
26 |
Issue |
3 |
Pages |
355–368 |
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Abstract |
IF: 1.138 |
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Call Number |
ISE @ ise @ SaV2005 |
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561 |
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Author |
Jaume Amores; Petia Radeva |
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Title |
Registration and Retrieval of Highly Elastic Bodies using Contextual Information |
Type |
Journal Article |
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Year |
2005 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
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Volume |
26 |
Issue |
11 |
Pages |
1720–1731 |
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Abstract |
IF: 1.138 |
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ADAS;MILAB |
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no |
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ADAS @ adas @ AmR2005b |
Serial |
592 |
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Author |
Oriol Ramos Terrades; Ernest Valveny |
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Title |
A new use of the ridgelets transform for describing linear singularities in images |
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Journal Article |
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Year |
2006 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
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Volume |
27 |
Issue |
6 |
Pages |
587–596 |
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DAG |
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no |
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Call Number |
DAG @ dag @ RaV2006a |
Serial |
635 |
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Author |
Jaume Amores; N. Sebe; Petia Radeva |
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Title |
Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier |
Type |
Journal Article |
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Year |
2006 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
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Volume |
27 |
Issue |
3 |
Pages |
201–209 |
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ADAS;MILAB |
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no |
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Call Number |
ADAS @ adas @ ASR2006 |
Serial |
643 |
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Author |
Fernando Vilariño; Ludmila I. Kuncheva; Petia Radeva |
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Title |
ROC curves and video analysis optimization in intestinal capsule endoscopy |
Type |
Journal Article |
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Year |
2006 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
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Volume |
27 |
Issue |
8 |
Pages |
875–881 |
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Keywords |
ROC curves; Classification; Classifiers ensemble; Detection of intestinal contractions; Imbalanced classes; Wireless capsule endoscopy |
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Abstract |
Wireless capsule endoscopy involves inspection of hours of video material by a highly qualified professional. Time episodes corresponding to intestinal contractions, which are of interest to the physician constitute about 1% of the video. The problem is to label automatically time episodes containing contractions so that only a fraction of the video needs inspection. As the classes of contraction and non-contraction images in the video are largely imbalanced, ROC curves are used to optimize the trade-off between false positive and false negative rates. Classifier ensemble methods and simple classifiers were examined. Our results reinforce the claims from recent literature that classifier ensemble methods specifically designed for imbalanced problems have substantial advantages over simple classifiers and standard classifier ensembles. By using ROC curves with the bagging ensemble method the inspection time can be drastically reduced at the expense of a small fraction of missed contractions. |
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800 |
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Notes |
MILAB;MV;SIAI |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ VKR2006; IAM @ iam @ VKR2006 |
Serial |
647 |
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Author |
Xavier Otazu; Oriol Pujol |
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Title |
Wavelet based approach to cluster analysis. Application on low dimensional data sets |
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Journal Article |
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Year |
2006 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
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Volume |
27 |
Issue |
14 |
Pages |
1590–1605 |
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MILAB; CIC; HuPBA |
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no |
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Call Number |
BCNPCL @ bcnpcl @ OtP2006 |
Serial |
658 |
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Author |
Fadi Dornaika; Angel Sappa |
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Title |
Rigid and Non-rigid Face Motion Tracking by Aligning Texture Maps and Stereo 3D Models |
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Journal Article |
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Year |
2007 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
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Volume |
28 |
Issue |
15 |
Pages |
2116-2126 |
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ADAS |
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no |
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ADAS @ adas @ DoS2007c |
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877 |
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Author |
Miquel Ferrer; Ernest Valveny; F. Serratosa |
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Title |
Median graph: A new exact algorithm using a distance based on the maximum common subgraph |
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Journal Article |
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Year |
2009 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
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Volume |
30 |
Issue |
5 |
Pages |
579–588 |
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Abstract |
Median graphs have been presented as a useful tool for capturing the essential information of a set of graphs. Nevertheless, computation of optimal solutions is a very hard problem. In this work we present a new and more efficient optimal algorithm for the median graph computation. With the use of a particular cost function that permits the definition of the graph edit distance in terms of the maximum common subgraph, and a prediction function in the backtracking algorithm, we reduce the size of the search space, avoiding the evaluation of a great amount of states and still obtaining the exact median. We present a set of experiments comparing our new algorithm against the previous existing exact algorithm using synthetic data. In addition, we present the first application of the exact median graph computation to real data and we compare the results against an approximate algorithm based on genetic search. These experimental results show that our algorithm outperforms the previous existing exact algorithm and in addition show the potential applicability of the exact solutions to real problems. |
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Elsevier Science Inc. |
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0167-8655 |
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DAG |
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no |
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Call Number |
DAG @ dag @ FVS2009a |
Serial |
1114 |
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Permanent link to this record |
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Author |
Fadi Dornaika; Angel Sappa |
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Title |
Instantaneous 3D motion from image derivatives using the Least Trimmed Square Regression |
Type |
Journal Article |
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Year |
2009 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
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Volume |
30 |
Issue |
5 |
Pages |
535–543 |
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This paper presents a new technique to the instantaneous 3D motion estimation. The main contributions are as follows. First, we show that the 3D camera or scene velocity can be retrieved from image derivatives only assuming that the scene contains a dominant plane. Second, we propose a new robust algorithm that simultaneously provides the Least Trimmed Square solution and the percentage of inliers-the non-contaminated data. Experiments on both synthetic and real image sequences demonstrated the effectiveness of the developed method. Those experiments show that the new robust approach can outperform classical robust schemes. |
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Elsevier Science Inc. |
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0167-8655 |
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ADAS |
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ADAS @ adas @ DoS2009a |
Serial |
1115 |
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Author |
Sergio Escalera; Oriol Pujol; Petia Radeva |
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Title |
Separability of Ternary Codes for Sparse Designs of Error-Correcting Output Codes |
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Journal Article |
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Year |
2009 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
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Volume |
30 |
Issue |
3 |
Pages |
285–297 |
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Abstract |
Error Correcting Output Codes (ECOC) represent a successful framework to deal with multi-class categorization problems based on combining binary classifiers. In this paper, we present a new formulation of the ternary ECOC distance and the error-correcting capabilities in the ternary ECOC framework. Based on the new measure, we stress on how to design coding matrices preventing codification ambiguity and propose a new Sparse Random coding matrix with ternary distance maximization. The results on the UCI Repository and in a real speed traffic categorization problem show that when the coding design satisfies the new ternary measures, significant performance improvement is obtained independently of the decoding strategy applied. |
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MILAB;HuPBA |
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no |
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BCNPCL @ bcnpcl @ EPR2009a |
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1153 |
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Author |
Marçal Rusiñol; Agnes Borras; Josep Llados |
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Title |
Relational Indexing of Vectorial Primitives for Symbol Spotting in Line-Drawing Images |
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Journal Article |
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2010 |
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Pattern Recognition Letters |
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PRL |
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31 |
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3 |
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188–201 |
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Document image analysis and recognition, Graphics recognition, Symbol spotting ,Vectorial representations, Line-drawings |
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This paper presents a symbol spotting approach for indexing by content a database of line-drawing images. As line-drawings are digital-born documents designed by vectorial softwares, instead of using a pixel-based approach, we present a spotting method based on vector primitives. Graphical symbols are represented by a set of vectorial primitives which are described by an off-the-shelf shape descriptor. A relational indexing strategy aims to retrieve symbol locations into the target documents by using a combined numerical-relational description of 2D structures. The zones which are likely to contain the queried symbol are validated by a Hough-like voting scheme. In addition, a performance evaluation framework for symbol spotting in graphical documents is proposed. The presented methodology has been evaluated with a benchmarking set of architectural documents achieving good performance results. |
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Elsevier |
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DAG |
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DAG @ dag @ RBL2010 |
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1177 |
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Author |
Sergio Escalera; Alicia Fornes; O. Pujol; Petia Radeva; Gemma Sanchez; Josep Llados |
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Title |
Blurred Shape Model for Binary and Grey-level Symbol Recognition |
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Journal Article |
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Year |
2009 |
Publication |
Pattern Recognition Letters |
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PRL |
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30 |
Issue |
15 |
Pages |
1424–1433 |
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Abstract |
Many symbol recognition problems require the use of robust descriptors in order to obtain rich information of the data. However, the research of a good descriptor is still an open issue due to the high variability of symbols appearance. Rotation, partial occlusions, elastic deformations, intra-class and inter-class variations, or high variability among symbols due to different writing styles, are just a few problems. In this paper, we introduce a symbol shape description to deal with the changes in appearance that these types of symbols suffer. The shape of the symbol is aligned based on principal components to make the recognition invariant to rotation and reflection. Then, we present the Blurred Shape Model descriptor (BSM), where new features encode the probability of appearance of each pixel that outlines the symbols shape. Moreover, we include the new descriptor in a system to deal with multi-class symbol categorization problems. Adaboost is used to train the binary classifiers, learning the BSM features that better split symbol classes. Then, the binary problems are embedded in an Error-Correcting Output Codes framework (ECOC) to deal with the multi-class case. The methodology is evaluated on different synthetic and real data sets. State-of-the-art descriptors and classifiers are compared, showing the robustness and better performance of the present scheme to classify symbols with high variability of appearance. |
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HuPBA; DAG; MILAB |
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no |
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Call Number |
BCNPCL @ bcnpcl @ EFP2009a |
Serial |
1180 |
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