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| Author | O. Rodriguez; J. Mauri; E Fernandez-Nofrerias; C. Garcia; R. Villuendas; A. Tovar; A. Duran; V. Valle; Misael Rosales; Petia Radeva | ||||
| Title | Model Empiric de Simulacio d Ecografia Intravascular | Type | Journal Article | ||
| Year | 2003 | Publication | Revista Societat Catalana de Cardiologia, 4(4):42, XIVe Congres de la Societat Catalana de Cardiologia | Abbreviated Journal | |
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| Address | Barcelona | ||||
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| Notes | MILAB | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ RMF2003e | Serial | 412 | ||
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| Author | A.F. Sole; Antonio Lopez; G. Sapiro | ||||
| Title | Crease Enhancement Diffusion | Type | Journal Article | ||
| Year | 2001 | Publication | Computer Vision and Image Understanding, 84(2): 241–248 (IF: 1.298) | Abbreviated Journal | |
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| Address | New York; USA | ||||
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ SLS2001 | Serial | 485 | ||
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| Author | Debora Gil; Petia Radeva | ||||
| Title | A Regularized Curvature Flow Designed for a Selective Shape Restoration | Type | Journal Article | ||
| Year | 2004 | Publication | IEEE Transactions on Image Processing | Abbreviated Journal | |
| Volume | 13 | Issue | Pages | 1444–1458 | |
| Keywords | Geometric flows, nonlinear filtering, shape recovery. | ||||
| Abstract | Among all filtering techniques, those based exclu- sively on image level sets (geometric flows) have proven to be the less sensitive to the nature of noise and the most contrast preserving. A common feature to existent curvature flows is that they penalize high curvature, regardless of the curve regularity. This constitutes a major drawback since curvature extreme values are standard descriptors of the contour geometry. We argue that an operator designed with shape recovery purposes should include a term penalizing irregularity in the curvature rather than its magnitude. To this purpose, we present a novel geometric flow that includes a function that measures the degree of local irregularity present in the curve. A main advantage is that it achieves non-trivial steady states representing a smooth model of level curves in a noisy image. Performance of our approach is compared to classical filtering techniques in terms of quality in the restored image/shape and asymptotic behavior. We empirically prove that our approach is the technique that achieves the best compromise between image quality and evolution stabilization. | ||||
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| Notes | IAM;MILAB | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ GiR2004b | Serial | 491 | ||
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| Author | Maria Vanrell; Jordi Vitria | ||||
| Title | Optimal 3x3 decomposable disks for morphological transformations | Type | Journal Article | ||
| Year | 1997 | Publication | Image and Vision Computing | Abbreviated Journal | |
| Volume | 15 | Issue | 11 | Pages | 845-854 |
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| Notes | OR;CIC;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ VaV1997c | Serial | 543 | ||
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| Author | Antonio Lopez; Ernest Valveny; Juan J. Villanueva | ||||
| Title | Real-time quality control of surgical material packaging by artificial vision | Type | Journal Article | ||
| Year | 2005 | Publication | Assembly Automation | Abbreviated Journal | |
| Volume | 25 | Issue | 3 | Pages | |
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| Abstract | IF: 0.061) | ||||
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| Notes | ADAS;DAG | Approved | no | ||
| Call Number | ADAS @ adas @ LVV2005 | Serial | 552 | ||
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| Author | A. Sanfeliu; Juan J. Villanueva | ||||
| Title | An approach of visual motion analysis | Type | Journal Article | ||
| Year | 2005 | Publication | Pattern Recognition Letters | Abbreviated Journal | PRL |
| Volume | 26 | Issue | 3 | Pages | 355–368 |
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| Abstract | IF: 1.138 | ||||
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| Notes | Approved | no | |||
| Call Number | ISE @ ise @ SaV2005 | Serial | 561 | ||
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| Author | Jaume Amores; Petia Radeva | ||||
| Title | Registration and Retrieval of Highly Elastic Bodies using Contextual Information | Type | Journal Article | ||
| Year | 2005 | Publication | Pattern Recognition Letters | Abbreviated Journal | PRL |
| Volume | 26 | Issue | 11 | Pages | 1720–1731 |
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| Abstract | IF: 1.138 | ||||
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| Notes | ADAS;MILAB | Approved | no | ||
| Call Number | ADAS @ adas @ AmR2005b | Serial | 592 | ||
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| Author | B. Gotschy; Matthias S. Keil; H. Klos; I. Rystau | ||||
| Title | Transition from static to dynamic Jahn-Teller distortion in (P(C6 H5)4)2 C60| | Type | Journal Article | ||
| Year | 1994 | Publication | Solid State Communications | Abbreviated Journal | |
| Volume | 92 | Issue | 12 | Pages | 935-938 |
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| Notes | Approved | no | |||
| Call Number | Admin @ si @ GKK1994 | Serial | 631 | ||
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| Author | Oriol Ramos Terrades; Ernest Valveny | ||||
| Title | A new use of the ridgelets transform for describing linear singularities in images | Type | Journal Article | ||
| Year | 2006 | Publication | Pattern Recognition Letters | Abbreviated Journal | PRL |
| Volume | 27 | Issue | 6 | Pages | 587–596 |
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| Notes | DAG | Approved | no | ||
| Call Number | DAG @ dag @ RaV2006a | Serial | 635 | ||
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| Author | Jaume Amores; N. Sebe; Petia Radeva | ||||
| Title | Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier | Type | Journal Article | ||
| Year | 2006 | Publication | Pattern Recognition Letters | Abbreviated Journal | PRL |
| Volume | 27 | Issue | 3 | Pages | 201–209 |
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| Notes | ADAS;MILAB | Approved | no | ||
| Call Number | ADAS @ adas @ ASR2006 | Serial | 643 | ||
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| Author | Fernando Vilariño; Ludmila I. Kuncheva; Petia Radeva | ||||
| Title | ROC curves and video analysis optimization in intestinal capsule endoscopy | Type | Journal Article | ||
| Year | 2006 | Publication | Pattern Recognition Letters | Abbreviated Journal | PRL |
| Volume | 27 | Issue | 8 | Pages | 875–881 |
| Keywords | ROC curves; Classification; Classifiers ensemble; Detection of intestinal contractions; Imbalanced classes; Wireless capsule endoscopy | ||||
| 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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| Area | 800 | Expedition | Conference | ||
| Notes | MILAB;MV;SIAI | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ VKR2006; IAM @ iam @ VKR2006 | Serial | 647 | ||
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| Author | Angel Sappa; David Geronimo; Fadi Dornaika; Antonio Lopez | ||||
| Title | On-board camera extrinsic parameter estimation | Type | Journal Article | ||
| Year | 2006 | Publication | Electronics Letters | Abbreviated Journal | EL |
| Volume | 42 | Issue | 13 | Pages | 745–746 |
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| Abstract | An efficient technique for real-time estimation of camera extrinsic parameters is presented. It is intended to be used on on-board vision systems for driving assistance applications. The proposed technique is based on the use of a commercial stereo vision system that does not need any visual feature extraction. | ||||
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| Publisher | IEE | Place of Publication | Editor |
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ SGD2006a | Serial | 655 | ||
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| Author | Xavier Otazu; Oriol Pujol | ||||
| Title | Wavelet based approach to cluster analysis. Application on low dimensional data sets | Type | Journal Article | ||
| Year | 2006 | Publication | Pattern Recognition Letters | Abbreviated Journal | PRL |
| Volume | 27 | Issue | 14 | Pages | 1590–1605 |
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| Notes | MILAB; CIC; HuPBA | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ OtP2006 | Serial | 658 | ||
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| Author | Jaume Amores | ||||
| Title | Multiple Instance Classification: review, taxonomy and comparative study | Type | Journal Article | ||
| Year | 2013 | Publication | Artificial Intelligence | Abbreviated Journal | AI |
| Volume | 201 | Issue | Pages | 81-105 | |
| Keywords | Multi-instance learning; Codebook; Bag-of-Words | ||||
| Abstract | 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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| Publisher | Elsevier Science Publishers Ltd. Essex, UK | Place of Publication | Editor |
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| ISSN | 0004-3702 | ISBN | Medium | ||
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| Notes | ADAS; 601.042; 600.057 | Approved | no | ||
| Call Number | Admin @ si @ Amo2013 | Serial | 2273 | ||
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| Author | Jaume Amores | ||||
| Title | MILDE: multiple instance learning by discriminative embedding | Type | Journal Article | ||
| Year | 2015 | Publication | Knowledge and Information Systems | Abbreviated Journal | KAIS |
| Volume | 42 | Issue | 2 | Pages | 381-407 |
| Keywords | Multi-instance learning; Codebook; Bag of words | ||||
| Abstract | While the objective of the standard supervised learning problem is to classify feature vectors, in the multiple instance learning problem, the objective is to classify bags, where each bag contains multiple feature vectors. This represents a generalization of the standard problem, and this generalization becomes necessary in many real applications such as drug activity prediction, content-based image retrieval, and others. While the existing paradigms are based on learning the discriminant information either at the instance level or at the bag level, we propose to incorporate both levels of information. This is done by defining a discriminative embedding of the original space based on the responses of cluster-adapted instance classifiers. Results clearly show the advantage of the proposed method over the state of the art, where we tested the performance through a variety of well-known databases that come from real problems, and we also included an analysis of the performance using synthetically generated data. | ||||
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| Publisher | Springer London | Place of Publication | Editor |
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| ISSN | 0219-1377 | ISBN | Medium | ||
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| Notes | ADAS; 601.042; 600.057; 600.076 | Approved | no | ||
| Call Number | Admin @ si @ Amo2015 | Serial | 2383 | ||
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