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Author |
Debora Gil; Antoni Rosell |
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Title |
Advances in Artificial Intelligence – How Lung Cancer CT Screening Will Progress? |
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2019 |
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World Lung Cancer Conference |
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Barcelona; September 2019 |
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IASLC WCLC |
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IAM; 600.139; 600.145 |
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Admin @ si @ GiR2019 |
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3361 |
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Author |
Felipe Lumbreras; Ramon Baldrich; Maria Vanrell; Joan Serrat; Juan J. Villanueva |
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Title |
Multiresolution texture classification of ceramic tiles. |
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Book Chapter |
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1999 |
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Recent Research developments in optical engineering, Research Signpost, 2: 213–228 |
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India |
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ADAS;CIC |
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ADAS @ adas @ LBV1999b |
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45 |
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Author |
V. Valev; Petia Radeva |
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Title |
Determining Structural Description by Boolean Formulas. |
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Book Chapter |
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1992 |
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Advances in Structural and Syntactic Pattern Recognition |
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5 |
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131–140 |
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Pattern recognition is an active area of research with many applications, some of which have reached commercial maturity. Structural and syntactic methods are very powerful. They are based on symbolic data structures together with matching, parsing, and reasoning procedures that are able to infer interpretations of complex input patterns.
This book gives an overview of the latest developments and achievements in the field. |
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World Scientific |
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H. Bunke |
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Machine Perception and Artificial Intelligence: |
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978-981-279-791-9 |
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MILAB |
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BCNPCL @ bcnpcl @ VaR1992c |
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254 |
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Author |
Francesc Tous; Agnes Borras; Robert Benavente; Ramon Baldrich; Maria Vanrell; Josep Llados |
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Title |
Textual Descriptions for Browsing People by Visual Apperance. |
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Book Chapter |
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2002 |
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Lecture Notes in Artificial Intelligence |
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2504 |
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419-429 |
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This paper presents a first approach to build colour and structural descriptors for information retrieval on a people database. Queries are formulated in terms of their appearance that allows to seek people wearing specific clothes of a given colour name or texture. Descriptors are automatically computed by following three essential steps. A colour naming labelling from pixel properties. A region seg- mentation step based on colour properties of pixels combined with edge information. And a high level step that models the region arrangements in order to build clothes structure. Results are tested on large set of images from real scenes taken at the entrance desk of a building |
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Springer Verlag |
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DAG;CIC |
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CAT @ cat @ TBB2002b |
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319 |
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Author |
Agnes Borras; Francesc Tous; Josep Llados; Maria Vanrell |
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Title |
High-Level Clothes Description Based on Color-Texture and Structural Features |
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Book Chapter |
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2003 |
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Lecture Notes in Computer Science |
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2652 |
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108–116 |
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This work is a part of a surveillance system where content- based image retrieval is done in terms of people appearance. Given an image of a person, our work provides an automatic description of his clothing according to the colour, texture and structural composition of its garments. We present a two-stage process composed by image segmentation and a region-based interpretation. We segment an image by modelling it due to an attributed graph and applying a hybrid method that follows a split-and-merge strategy. We propose the interpretation of five cloth combinations that are modelled in a graph structure in terms of region features. The interpretation is viewed as a graph matching with an associated cost between the segmentation and the cloth models. Fi- nally, we have tested the process with a ground-truth of one hundred images. |
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Springer-Verlag |
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DAG;CIC |
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CAT @ cat @ BTL2003a |
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368 |
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Author |
David Guillamet; Jordi Vitria |
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Title |
An Experimental Evaluation of K-nn for Linear Transforms of Positive Data |
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Book Chapter |
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2003 |
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In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science. 2652:317–325 |
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Springer-Verlag |
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OR;MV |
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BCNPCL @ bcnpcl @ GuV2003a |
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379 |
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Author |
Fernando Vilariño; Petia Radeva |
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Title |
Cardiac Segmentation with Discriminant Active Contours |
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2003 |
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211–217 |
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Dynamic tracking of heart moving is one relevant target in medical imag- ing and can be helpful for analyzing heart dynamics in the study of several cardiac diseases. For this aim, a previous segmentation problem of such structures is stated, based on certain relevant features (like edges or intensity levels, textures, etc.) Clas- sical active models have been used, but they fail when overlapping structures or not well-defined contours are present. Automatic feature learning systems may be a pow- erful tool. Discriminant active contours present optimal results in this kind of problem. They are a kind of deformable models that converge to an optimal object segmenta- tion that dynamically adapts to the object contour. The feature space is designed from a filter bank in order to guarantee the search and learning of the set of relevant fea- tures for optimal classification on each part of the object. Tracking of target evolution is obtained through the whole set of images, using information from the actual and previous stages. Feedback systems are implemented to guarantee the minimum well- separable classification set in each segmentation step. Our implementation has been proved with several series of Magnetic Resonance with improved results in segmenta- tion in comparison to previous methods. |
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Palma de Mallorca |
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IOS Press |
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CCIA |
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MV;MILAB;SIAI |
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BCNPCL @ bcnpcl @ ViR2003; IAM @ iam @ VRa2003 |
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426 |
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Author |
David Masip; Jordi Vitria |
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Title |
Classifier Combination Applied to Real Time Face Detection and Classification. |
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2004 |
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Recerca Automatica, Visio i Robotica, Ed. UPC, A. Grau, V. Puig (Eds.), 345–353, ISBN 84–7653–844–8 |
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OR;MV |
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BCNPCL @ bcnpcl @ MBV2004b |
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449 |
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Author |
Angel Sappa; Niki Aifanti; N. Grammalidis; Sotiris Malassiotis |
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Title |
Advances in Vision-Based Human Body Modeling |
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2004 |
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3D Modeling & Animation: Systhesis and Analysis Techniques for the Human Body |
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1-26 |
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N. Sarris and M. Strintzis. |
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1-59140-299-9 |
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ADAS @ adas @ SAG2004a |
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458 |
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Author |
P. Andreeva; Maya Dimitrova; Petia Radeva |
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Title |
Data Mining Learning Models and Algorithms for Medical Applications |
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2004 |
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18 Conference Systems for Automation of Engineering and Research (SEAR 2004) |
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Varna (Bulgaria) |
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BCNPCL @ bcnpcl @ ADR2004 |
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474 |
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