Home [11–20] << 21 22 23 24 25 26 27 28 29 30 >> [31–31]
List View
 | 
Citations
 | 
Details
   web
Records
Author (up) Mateusz Pyla; Kamil Deja; Bartłomiej Twardowski; Tomasz Trzcinski
Title Bayesian Flow Networks in Continual Learning Type Miscellaneous
Year 2023 Publication arxiv Abbreviated Journal
Volume Issue Pages
Keywords
Abstract Bayesian Flow Networks (BFNs) has been recently proposed as one of the most promising direction to universal generative modelling, having ability to learn any of the data type. Their power comes from the expressiveness of neural networks and Bayesian inference which make them suitable in the context of continual learning. We delve into the mechanics behind BFNs and conduct the experiments to empirically verify the generative capabilities on non-stationary data.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes LAMP Approved no
Call Number Admin @ si @ PDT2023 Serial 3972
Permanent link to this record
 
 
Author (up) Matthias S. Keil; Jordi Vitria
Title Does the brain generate representations of smooth brightness gradients? A novel account for Mach bands, Chevreul’s illusion, and a variant of the Ehrenstein disk Type Miscellaneous
Year 2005 Publication European Conference on Visual Perception Abbreviated Journal
Volume Issue Pages
Keywords
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes OR;MV Approved no
Call Number BCNPCL @ bcnpcl @ KeV2005b Serial 607
Permanent link to this record
 
 
Author (up) Maya Dimitrova; Ch. Roumenin; Petia Radeva; David Rotger; Juan J. Villanueva
Title Multimodal Intelligent System for Cardiovascular Diagnosis Type Miscellaneous
Year 2003 Publication Automation and Informatics, any XXXVII, num. 3 Abbreviated Journal
Volume Issue Pages
Keywords
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes MILAB Approved no
Call Number BCNPCL @ bcnpcl @ DRR2003 Serial 374
Permanent link to this record
 
 
Author (up) Maya Dimitrova; I. Terziev; Petia Radeva; Juan J. Villanueva
Title Java-Servlet Technology for Building New Web Document Classifiers Type Miscellaneous
Year 2004 Publication Abbreviated Journal
Volume Issue Pages
Keywords
Abstract
Address Varna (Bulgaria)
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes MILAB Approved no
Call Number BCNPCL @ bcnpcl @ DTR2004 Serial 476
Permanent link to this record
 
 
Author (up) Maya Dimitrova; N. Kushmerick; Petia Radeva; Juan J. Villanueva
Title User Assesment of a Visual Genre Classifier Type Miscellaneous
Year 2003 Publication Proceedings of the 3rd IASTED Int. Conference Visualization, Imaging and Image Processing Abbreviated Journal
Volume Issue Pages
Keywords
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes MILAB Approved no
Call Number BCNPCL @ bcnpcl @ DKR2003 Serial 372
Permanent link to this record
 
 
Author (up) Maya Dimitrova; Petia Radeva; David Rotger; D. Boyadjiev; Juan J. Villanueva
Title Advanced Cardiological Diagnosis via Intelligent Image Analysis Type Miscellaneous
Year 2004 Publication Abbreviated Journal
Volume Issue Pages
Keywords
Abstract
Address Varna (Bulgaria)
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes MILAB Approved no
Call Number BCNPCL @ bcnpcl @ DRR2004 Serial 477
Permanent link to this record
 
 
Author (up) Md. Mostafa Kamal Sarker; Hatem A. Rashwan; Mohamed Abdel-Nasser; Vivek Kumar Singh; Syeda Furruka Banu; Farhan Akram; Forhad U. H. Chowdhury; Kabir Ahmed Choudhury; Sylvie Chambon; Petia Radeva; Domenec Puig
Title MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network Type Miscellaneous
Year 2019 Publication Arxiv Abbreviated Journal
Volume Issue Pages
Keywords
Abstract CoRR abs/1907.00856
Skin lesion segmentation in dermoscopic images is a challenge due to their blurry and irregular boundaries. Most of the segmentation approaches based on deep learning are time and memory consuming due to the hundreds of millions of parameters. Consequently, it is difficult to apply them to real dermatoscope devices with limited GPU and memory resources. In this paper, we propose a lightweight and efficient Generative Adversarial Networks (GAN) model, called MobileGAN for skin lesion segmentation. More precisely, the MobileGAN combines 1D non-bottleneck factorization networks with position and channel attention modules in a GAN model. The proposed model is evaluated on the test dataset of the ISBI 2017 challenges and the validation dataset of ISIC 2018 challenges. Although the proposed network has only 2.35 millions of parameters, it is still comparable with the state-of-the-art. The experimental results show that our MobileGAN obtains comparable performance with an accuracy of 97.61%.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes MILAB; no menciona Approved no
Call Number Admin @ si @ MRA2019 Serial 3384
Permanent link to this record
 
 
Author (up) Md. Mostafa Kamal Sarker; Mohammed Jabreel; Hatem A. Rashwan; Syeda Furruka Banu; Antonio Moreno; Petia Radeva; Domenec Puig
Title CuisineNet: Food Attributes Classification using Multi-scale Convolution Network. Type Miscellaneous
Year 2018 Publication Arxiv Abbreviated Journal
Volume Issue Pages
Keywords
Abstract Diversity of food and its attributes represents the culinary habits of peoples from different countries. Thus, this paper addresses the problem of identifying food culture of people around the world and its flavor by classifying two main food attributes, cuisine and flavor. A deep learning model based on multi-scale convotuional networks is proposed for extracting more accurate features from input images. The aggregation of multi-scale convolution layers with different kernel size is also used for weighting the features results from different scales. In addition, a joint loss function based on Negative Log Likelihood (NLL) is used to fit the model probability to multi labeled classes for multi-modal classification task. Furthermore, this work provides a new dataset for food attributes, so-called Yummly48K, extracted from the popular food website, Yummly. Our model is assessed on the constructed Yummly48K dataset. The experimental results show that our proposed method yields 65% and 62% average F1 score on validation and test set which outperforming the state-of-the-art models.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes MILAB; no proj Approved no
Call Number Admin @ si @ KJR2018 Serial 3235
Permanent link to this record
 
 
Author (up) Mert Kilickaya; Joost van de Weijer; Yuki M. Asano
Title Towards Label-Efficient Incremental Learning: A Survey Type Miscellaneous
Year 2023 Publication Arxiv Abbreviated Journal
Volume Issue Pages
Keywords
Abstract The current dominant paradigm when building a machine learning model is to iterate over a dataset over and over until convergence. Such an approach is non-incremental, as it assumes access to all images of all categories at once. However, for many applications, non-incremental learning is unrealistic. To that end, researchers study incremental learning, where a learner is required to adapt to an incoming stream of data with a varying distribution while preventing forgetting of past knowledge. Significant progress has been made, however, the vast majority of works focus on the fully supervised setting, making these algorithms label-hungry thus limiting their real-life deployment. To that end, in this paper, we make the first attempt to survey recently growing interest in label-efficient incremental learning. We identify three subdivisions, namely semi-, few-shot- and self-supervised learning to reduce labeling efforts. Finally, we identify novel directions that can further enhance label-efficiency and improve incremental learning scalability. Project website: this https URL.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes LAMP Approved no
Call Number Admin @ si @ KWA2023 Serial 3994
Permanent link to this record
 
 
Author (up) Michael Villamizar; A. Sanfeliu; Juan Andrade
Title Orientation Invariant Features for Multiclass Object Recognition Type Miscellaneous
Year 2006 Publication 11th Iberoamerican Congress on Pattern Recognition (CIARP´06), LNCS 4225: 655–664 Abbreviated Journal
Volume Issue Pages
Keywords
Abstract
Address Cancun (Mexico)
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number Admin @ si @ VSA2006b Serial 664
Permanent link to this record
 
 
Author (up) Michael Villamizar; A. Sanfeliu; Juan Andrade
Title Computation of Rotation Local Invariant Features using the Integral Image for Real Time Object Detection Type Miscellaneous
Year 2006 Publication 18th International Conference on Pattern Recognition, 81–85 Abbreviated Journal
Volume Issue Pages
Keywords
Abstract
Address Hong Kong
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number Admin @ si @ VSA2006a Serial 663
Permanent link to this record
 
 
Author (up) Mikel Menta; Adriana Romero; Joost Van de Weijer
Title Learning to adapt class-specific features across domains for semantic segmentation Type Miscellaneous
Year 2020 Publication Arxiv Abbreviated Journal
Volume Issue Pages
Keywords
Abstract arXiv:2001.08311
Recent advances in unsupervised domain adaptation have shown the effectiveness of adversarial training to adapt features across domains, endowing neural networks with the capability of being tested on a target domain without requiring any training annotations in this domain. The great majority of existing domain adaptation models rely on image translation networks, which often contain a huge amount of domain-specific parameters. Additionally, the feature adaptation step often happens globally, at a coarse level, hindering its applicability to tasks such as semantic segmentation, where details are of crucial importance to provide sharp results. In this thesis, we present a novel architecture, which learns to adapt features across domains by taking into account per class information. To that aim, we design a conditional pixel-wise discriminator network, whose output is conditioned on the segmentation masks. Moreover, following recent advances in image translation, we adopt the recently introduced StarGAN architecture as image translation backbone, since it is able to perform translations across multiple domains by means of a single generator network. Preliminary results on a segmentation task designed to assess the effectiveness of the proposed approach highlight the potential of the model, improving upon strong baselines and alternative designs.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes LAMP; 600.120 Approved no
Call Number Admin @ si @ MRW2020 Serial 3545
Permanent link to this record
 
 
Author (up) Mikhail Mozerov; V. Kober; I.A. Ovseyevich
Title A Stereo Matching Algorithm with Global Smoothness Criterion Type Miscellaneous
Year 2006 Publication Topical Meeting on Optoinformatics / Information Photonics, 133–135 Abbreviated Journal
Volume Issue Pages
Keywords
Abstract
Address Saint-Petersburg (Russia)
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes ISE Approved no
Call Number ISE @ ise @ MKO2006 Serial 675
Permanent link to this record
 
 
Author (up) Miquel Ferrer; Robert Benavente; Ernest Valveny; J. Garcia; Agata Lapedriza; Gemma Sanchez
Title Aprendizaje Cooperativo Aplicado a la Docencia de las Asignaturas de Programacion en Ingenieria Informatica Type Miscellaneous
Year 2008 Publication Octava Jornada sobre Aprendizaje Cooperativo, 41–46 Abbreviated Journal
Volume Issue Pages
Keywords
Abstract
Address Lleida (Spain).
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes OR;DAG;CIC;MV Approved no
Call Number BCNPCL @ bcnpcl @ FBV2008 Serial 955
Permanent link to this record
 
 
Author (up) Misael Rosales
Title Empirical Simulation Moldel of Intravascular Ultrasound Type Miscellaneous
Year 2002 Publication Director: P. Radeva, Master Thesis. Abbreviated Journal
Volume Issue Pages
Keywords
Abstract
Address CVC (UAB)
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number Admin @ si @ Ros2002 Serial 323
Permanent link to this record