Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Victor L. F. Souza"'
Publikováno v:
ICPR
SigNet is a state of the art model for feature representation used for handwritten signature verification (HSV). This representation is based on a Deep Convolutional Neural Network (DCNN) and contains 2048 dimensions. When transposed to a dissimilari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fcd9c356648413c2e545a046ee884d7
http://arxiv.org/abs/2010.10025
http://arxiv.org/abs/2010.10025
Publikováno v:
GECCO Companion
This paper investigates the presence of overfitting when using Binary Particle Swarm Optimization (BPSO) to perform the feature selection in a context of Handwritten Signature Verification (HSV). SigNet is a state of the art Deep CNN model for featur
High number of writers, small number of training samples per writer with high intra-class variability and heavily imbalanced class distributions are among the challenges and difficulties of the offline Handwritten Signature Verification (HSV) problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1127500e37bc2451c9c45f9c77a02fec
http://arxiv.org/abs/2004.03370
http://arxiv.org/abs/2004.03370
Publikováno v:
Decision Support Systems. 104:79-91
Financial time series represent the stock prices over time and exhibit behavior similar to a data stream. Many works report on the use of data mining techniques to predict the future direction of stock prices and to discover patterns in the time seri
In this paper we determine the number and typical structure of sets of integers with bounded doubling. In particular, improving recent results of Green and Morris, and of Mazur, we show that the following holds for every fixed $\lambda > 2$ and every
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::007e1b6b25d48bdd902a506adc71aad3
http://arxiv.org/abs/1910.11324
http://arxiv.org/abs/1910.11324
On Dissimilarity Representation and Transfer Learning for Offline Handwritten Signature Verification
Publikováno v:
IJCNN
When compared to Writer-Dependent (WD) Handwritten Signature Verification, in which a model is trained for each individual writer, the Writer-Independent (WI) approach offers greater scalability, since only a single model is trained for all users fro
Autor:
Victor L. F. Souza, David Lewis
Publikováno v:
Journal of Combinatorial Theory, Series A. 179:105391
The Dushnik-Miller dimension of a partially-ordered set $P$ is the smallest $d$ such that one can embed $P$ into a product of $d$ linear orders. We prove that the dimension of the divisibility order on the interval $\{1, \dotsc, n\}$, is equal to ${(
Autor:
Victor L. F. Souza
Publikováno v:
European Journal of Combinatorics. 92:103238
We study a generalisation of the bipartite Ramsey numbers to blowups of graphs. For a graph $G$, denote the $t$-blowup of $G$ by $G[t]$. We say that $G$ is $r$-Ramsey for $H$, and write $G \stackrel{r}{\rightarrow} H$, if every $r$-colouring of the e
Autor:
Rodrigo C. Brasileiro, Adriano L. I. Oliveira, Victor L. F. Souza, Jarley P. Nobrega, Rodolfo C. Cavalcante
Publikováno v:
Expert Systems with Applications. 55:194-211
We propose a survey of soft computing techniques applied to financial market.We surveyed several primary studies proposed in the literature.A framework for building an intelligent trading system was proposed.Future directions of this research field a
Publikováno v:
BRACIS
The use of features extracted using a deep convolutional neural network (CNN) combined with a writer-dependent (WD) SVM classifier resulted in significant improvement in performance of handwritten signature verification (HSV) when compared to the pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c88a51fdcfb49ba84585462f5d509cb8