| Records |
| Author |
F.Guirado; Ana Ripoll; C.Roig; Aura Hernandez-Sabate; Emilio Luque |
| Title |
Exploiting Throughput for Pipeline Execution in Streaming Image Processing Applications |
Type |
Book Chapter |
| Year |
2006 |
Publication |
Euro-Par 2006 Parallel Processing |
Abbreviated Journal |
LNCS |
| Volume |
4128 |
Issue |
|
Pages |
1095-1105 |
| Keywords |
12th International Euro–Par Conference |
| Abstract |
There is a large range of image processing applications that act on an input sequence of image frames that are continuously received. Throughput is a key performance measure to be optimized when execu- ting them. In this paper we propose a new task replication methodology for optimizing throughput for an image processing application in the field of medicine. The results show that by applying the proposed methodo- logy we are able to achieve the desired throughput in all cases, in such a way that the input frames can be processed at any given rate. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer-Verlag Berlin Heidelberg |
Place of Publication |
Dresden, Germany (European Union) |
Editor  |
UAB; W, E.N.; et al. |
| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
Lecture Notes In Computer Science |
Abbreviated Series Title |
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Series Issue |
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Edition |
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ISBN |
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Medium |
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Expedition |
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Conference |
Euro–Par |
| Notes |
IAM |
Approved |
no |
| Call Number |
IAM @ iam @ GRR2006a |
Serial |
1542 |
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| Author |
Oriol Ramos Terrades |
| Title |
Linear Combination of Multiresolution Descriptors: Application to Graphics Recognition |
Type |
Book Whole |
| Year |
2006 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC & Universite Nancy 2 |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
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| Address |
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| Corporate Author |
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Thesis |
Ph.D. thesis |
| Publisher |
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Place of Publication |
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Editor |
Salvatore Antoine Tabbone;Ernest Valveny |
| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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ISBN |
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Medium |
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Expedition |
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Conference |
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| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ Ram2006 |
Serial |
713 |
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| Author |
Panagiota Spyridonos; Fernando Vilariño; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
| Title |
Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal Contractions |
Type |
Book Chapter |
| Year |
2006 |
Publication |
9th International Conference on Medical Image Computing and Computer–Assisted Intervention |
Abbreviated Journal |
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| Volume |
4191 |
Issue |
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Pages |
161–168 |
| Keywords |
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| Abstract |
Wireless endoscopy is a very recent and at the same time unique technique allowing to visualize and study the occurrence of con- tractions and to analyze the intestine motility. Feature extraction is es- sential for getting efficient patterns to detect contractions in wireless video endoscopy of small intestine. We propose a novel method based on anisotropic image filtering and efficient statistical classification of con- traction features. In particular, we apply the image gradient tensor for mining informative skeletons from the original image and a sequence of descriptors for capturing the characteristic pattern of contractions. Fea- tures extracted from the endoluminal images were evaluated in terms of their discriminatory ability in correct classifying images as either belong- ing to contractions or not. Classification was performed by means of a support vector machine classifier with a radial basis function kernel. Our classification rates gave sensitivity of the order of 90.84% and specificity of the order of 94.43% respectively. These preliminary results highlight the high efficiency of the selected descriptors and support the feasibility of the proposed method in assisting the automatic detection and analysis of contractions. |
| Address |
Copenhagen (Denmark) |
| Corporate Author |
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Thesis |
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| Publisher |
Springer Verlag |
Place of Publication |
Berlin Heidelberg |
Editor |
R. Larsen, M. Nielsen, and J. Sporring |
| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
800 |
Expedition |
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Conference |
MICCAI06 |
| Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ SVV2006; IAM @ iam @ SVV2006 |
Serial |
725 |
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| Author |
Fernando Vilariño |
| Title |
A Machine Learning Approach for Intestinal Motility Assessment with Capsule Endoscopy |
Type |
Book Whole |
| Year |
2006 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
Intestinal motility assessment with video capsule endoscopy arises as a novel and challenging clinical fieldwork. This technique is based on the analysis of the patterns of intestinal contractions obtained by labelling all the motility events present in a video provided by a capsule with a wireless micro-camera, which is ingested by the patient. However, the visual analysis of these video sequences presents several im- portant drawbacks, mainly related to both the large amount of time needed for the visualization process, and the low prevalence of intestinal contractions in video.
In this work we propose a machine learning system to automatically detect the intestinal contractions in video capsule endoscopy, driving a very useful but not fea- sible clinical routine into a feasible clinical procedure. Our proposal is divided into two different parts: The first part tackles the problem of the automatic detection of phasic contractions in capsule endoscopy videos. Phasic contractions are dynamic events spanning about 4-5 seconds, which show visual patterns with a high variability. Our proposal is based on a sequential design which involves the analysis of textural, color and blob features with powerful classifiers such as SVM. This approach appears to cope with two basic aims: the reduction of the imbalance rate of the data set, and the modular construction of the system, which adds the capability of including domain knowledge as new stages in the cascade. The second part of the current work tackles the problem of the automatic detection of tonic contractions. Tonic contrac- tions manifest in capsule endoscopy as a sustained pattern of the folds and wrinkles of the intestine, which may be prolonged for an undetermined span of time. Our proposal is based on the analysis of the wrinkle patterns, presenting a comparative study of diverse features and classification methods, and providing a set of appro- priate descriptors for their characterization. We provide a detailed analysis of the performance achieved by our system both in a qualitative and a quantitative way. |
| Address |
CVC (UAB) |
| Corporate Author |
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Thesis |
Ph.D. thesis |
| Publisher |
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Place of Publication |
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Editor |
Petia Radeva |
| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
84-933652-7-0 |
Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
800 |
Expedition |
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Conference |
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| Notes |
MV;SIAI |
Approved |
no |
| Call Number |
Admin @ si @ Vil2006; IAM @ iam @ Vil2006 |
Serial |
738 |
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| Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Carolina Malagelada; Petia Radeva |
| Title |
A Machine Learning framework using SOMs: Applications in the Intestinal Motility Assessment |
Type |
Book Chapter |
| Year |
2006 |
Publication |
11th Iberoamerican Congress on Pattern Recognition |
Abbreviated Journal |
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| Volume |
4225 |
Issue |
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Pages |
188–197 |
| Keywords |
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| Abstract |
Small Bowel Motility Assessment by means of Wireless Capsule Video Endoscopy constitutes a novel clinical methodology in which a capsule with a micro-camera attached to it is swallowed by the patient, emitting a RF signal which is recorded as a video of its trip throughout the gut. In order to overcome the main drawbacks associated with this technique -mainly related to the large amount of visualization time required-, our efforts have been focused on the development of a machine learning system, built up in sequential stages, which provides the specialists with the useful part of the video, rejecting those parts not valid for analysis. We successfully used Self Organized Maps in a general semi-supervised framework with the aim of tackling the different learning stages of our system. The analysis of the diverse types of images and the automatic detection of intestinal contractions is performed under the perspective of intestinal motility assessment in a clinical environment. |
| Address |
Cancun (Mexico) |
| Corporate Author |
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Thesis |
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| Publisher |
Springer Verlag |
Place of Publication |
Berlin-Heidelberg |
Editor |
J.P. Martinez–Trinidad et al |
| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
800 |
Expedition |
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Conference |
CIARP06 |
| Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ VSV2006d; IAM @ iam @ VSV2006e |
Serial |
729 |
| Permanent link to this record |
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| Author |
Josep Llados |
| Title |
Computer Vision: Progress of Research and Development |
Type |
Book Whole |
| Year |
2006 |
Publication |
1st CVC Internal Workshop Computer Vision: Progress of Research and Development, |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
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| Address |
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| Corporate Author |
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Thesis |
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Place of Publication |
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Editor |
J. Llados (ed.), |
| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
84-933652-8-9 |
Medium |
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| Area |
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Expedition |
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Conference |
CVCRD |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ Lla2006b |
Serial |
766 |
| Permanent link to this record |
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| Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Carolina Malagelada; Petia Radeva |
| Title |
Linear Radial Patterns Characterization for Automatic Detection of Tonic Intestinal Contractions |
Type |
Book Chapter |
| Year |
2006 |
Publication |
11th Iberoamerican Congress on Pattern Recognition |
Abbreviated Journal |
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| Volume |
4225 |
Issue |
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Pages |
178–187 |
| Keywords |
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| Abstract |
This work tackles the categorization of general linear radial patterns by means of the valleys and ridges detection and the use of descriptors of directional information, which are provided by steerable filters in different regions of the image. We successfully apply our proposal in the specific case of automatic detection of tonic contractions in video capsule endoscopy, which represent a paradigmatic example of linear radial patterns. |
| Address |
Cancun (Mexico) |
| Corporate Author |
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Thesis |
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| Publisher |
Springer Verlag |
Place of Publication |
Berlin Heidelberg |
Editor |
.F. Mart ́ınez-Trinidad et al |
| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
800 |
Expedition |
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Conference |
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| Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ VSV2006c; IAM @ iam @ VSB2006f |
Serial |
728 |
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| Author |
A. Richichi; O. Fors; M.T. Merino; Xavier Otazu; J. Nuñez; A. Prades; U. Thiele; D. Perez-Ramirez; F.J. Montojo |
| Title |
The Calar Alto lunar occultation program: update and new results |
Type |
Journal |
| Year |
2006 |
Publication |
Astronomy and Astrophysics (Section ’Stellar structure and evolution’), 445:1081–1088 |
Abbreviated Journal |
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Issue |
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Pages |
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Editor |
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Original Title |
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Series Title |
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Edition |
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ISBN |
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Conference |
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| Notes |
CIC |
Approved |
no |
| Call Number |
CAT @ cat @ RFM2006a |
Serial |
589 |
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| Author |
Robert Benavente; Maria Vanrell; Ramon Baldrich |
| Title |
A data set for fuzzy colour naming |
Type |
Journal |
| Year |
2006 |
Publication |
Color Research & Application, 31(1):48–56 |
Abbreviated Journal |
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Issue |
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Pages |
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Edition |
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| Notes |
CIC |
Approved |
no |
| Call Number |
CAT @ cat @ BVB2006 |
Serial |
590 |
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| Author |
Zhong Jin; Franck Davoine; Zhen Lou; Jing-Yu Yang |
| Title |
A novel PCA-based Bayes classifier and face analysis |
Type |
Book Chapter |
| Year |
2006 |
Publication |
International Conference on Advances in Biometrics (ICB’06), LNCS 3832: 144–150 |
Abbreviated Journal |
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Issue |
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Pages |
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| Address |
Hong Kong |
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Editor |
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Original Title |
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Edition |
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| Notes |
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Approved |
no |
| Call Number |
Admin @ si @ JDL2006 |
Serial |
624 |
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| Author |
N. Zakaria; Jean-Marc Ogier; Josep Llados |
| Title |
The Fuzzy-Spatial Descriptor for the Online Graphic Recognition: Overlapping Matrix Algorithm |
Type |
Book Chapter |
| Year |
2006 |
Publication |
7th International Workshop, Document Analysis Systems VII (DAS´06), LNCS 3872: 616–627 |
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Issue |
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Pages |
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| Address |
Nelson (New Zealand) |
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Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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Edition |
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| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ ZOL2006 |
Serial |
629 |
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| Author |
Matthias S. Keil |
| Title |
Smooth Gradient Representations as a Unifying Account of Chevreul’s Illusion, Mach Bands, and a Variant of the Ehrenstein Disk |
Type |
Journal |
| Year |
2006 |
Publication |
Neural Computation |
Abbreviated Journal |
NEURALCOMPUT |
| Volume |
18 |
Issue |
4 |
Pages |
871–903 |
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no |
| Call Number |
Admin @ si @ Kei2006 |
Serial |
633 |
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| Author |
David Masip; Jordi Vitria |
| Title |
Boosted discriminant projections for nearest neighbor classification |
Type |
Journal |
| Year |
2006 |
Publication |
Pattern Recognition, 39(2): 164–170 |
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| Notes |
OR;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ MaV2006 |
Serial |
634 |
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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 |
Fadi Dornaika; Angel Sappa |
| Title |
Improving Appearance-Based 3D Face Tracking Using Sparse Stereo Data |
Type |
Miscellaneous |
| Year |
2006 |
Publication |
International Conference on Computer Vision Theory and Applications, (2): 310–317 |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ DoS2006a |
Serial |
636 |
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