Results 1 to 10 of about 19,085 (25)

French vital records data gathering and analysis through image processing and machine learning algorithms [PDF]

Journal of Data Mining and Digital Humanities, 2021
Vital records are rich of meaningful historical data concerning city as well as countryside inhabitants that can be used, among others, to study former populations and then reveal the social, economic and demographic characteristics of those populations.
Cyprien Plateau-Holleville, Enzo Bonnot, Franck Gechter, Laurent Heyberger   +3 more
doaj   +1 more source

Cursive Arabic Handwriting Recognition System Without Explicit Segmentation Based on Hidden Markov Models [PDF]

Journal of Data Mining and Digital Humanities, 2018
In this paper we present a system for offline recognition cursive Arabic handwritten text which is analytical without explicit segmentation based on Hidden Markov Models (HMMs).
Mouhcine Rabi, Mustapha Amrouch, Zouhair Mahani   +2 more
doaj   +1 more source

Classifying Cycling Hazards in Egocentric Data: Computer Vision and Pattern Recognition (cs.CV)

, 2021
Jayson Haebich, Christian Sandor, Álvaro Cassinelli   +2 more
openalex  

Language Models for Image Captioning: The Quirks and What Works [PDF]

, 2015
Two recent approaches have achieved state-of-the-art results in image captioning. The first uses a pipelined process where a set of candidate words is generated by a convolutional neural network (CNN) trained on images, and then a maximum entropy (ME ...
Cheng, Hao, Deng, Li, Devlin, Jacob, Fang, Hao, Gupta, Saurabh, He, Xiaodong, Mitchell, Margaret, Zweig, Geoffrey   +7 more
core   +1 more source

Multimodal news article analysis [PDF]

, 2017
The intersection of Computer Vision and Natural Language Processing has been a hot topic of research in recent years, with results that were unthinkable only a few years ago.
Ramisa Ayats, Arnau
core   +2 more sources

Towards dense object tracking in a 2D honeybee hive

, 2017
From human crowds to cells in tissue, the detection and efficient tracking of multiple objects in dense configurations is an important and unsolved problem.
Bozek, Katarzyna, Hebert, Laetitia, Mikheyev, Alexander S, Stephens, Greg J   +3 more
core   +2 more sources

Learning to count with deep object features

, 2015
Learning to count is a learning strategy that has been recently proposed in the literature for dealing with problems where estimating the number of object instances in a scene is the final objective.
Pujol, Oriol, Seguí, Santi, Vitrià, Jordi   +2 more
core   +1 more source

Image Restoration using Total Variation Regularized Deep Image Prior

, 2018
In the past decade, sparsity-driven regularization has led to significant improvements in image reconstruction. Traditional regularizers, such as total variation (TV), rely on analytical models of sparsity.
Kamilov, Ulugbek S., Liu, Jiaming, Sun, Yu, Xu, Xiaojian   +3 more
core   +1 more source

The Cyborg Astrobiologist: Testing a Novelty-Detection Algorithm on Two Mobile Exploration Systems at Rivas Vaciamadrid in Spain and at the Mars Desert Research Station in Utah

, 2009
(ABRIDGED) In previous work, two platforms have been developed for testing computer-vision algorithms for robotic planetary exploration (McGuire et al. 2004b,2005; Bartolo et al. 2007).
A. Bonnici, Aha, Alexander, B.H. Foing, Barnes, Bilbey, C. Gross, Chen, E. Díaz-Martínez, H. Ritter, J. Ontrup, J. Ormö, King, L. Wendt, M. Oesker, McGreevy, P.C. McGuire, R. Bose, R. Haschke, Rae, S. Walter, V. Souza-Egipsy   +21 more
core   +1 more source

Deep learning architectures for Computer Vision [PDF]

, 2016
Deep learning has become part of many state-of-the-art systems in multiple disciplines (specially in computer vision and speech processing). In this thesis Convolutional Neural Networks are used to solve the problem of recognizing people in images, both ...
Roig Marí, Carlos
core