387 citations · 1.6k across the 48 of their papers we have counts for
10 papers · 1 filter
Classifier Pool Generation based on a Two-level Diversity Approach
Marcos Monteiro, Alceu S. Britto, Jean P. Barddal +2
This paper describes a classifier pool generation method guided by the diversity estimated on the data complexity and classifier decisions. First, the behavior of complexity measur…
A Comprehensive Comparison of End-to-End Approaches for Handwritten Digit String Recognition
Andre G. Hochuli, Alceu S. Britto, David A. Saji +3
Over the last decades, most approaches proposed for handwritten digit string recognition (HDSR) have resorted to digit segmentation, which is dominated by heuristics, thereby impos…
An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz +1
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…
Intrapersonal Parameter Optimization for Offline Handwritten Signature Augmentation
Teruo M. Maruyama, Luiz S. Oliveira, Alceu S. Britto +1
Usually, in a real-world scenario, few signature samples are available to train an automatic signature verification system (ASVS). However, such systems do indeed need a lot of sig…
Random Forest for Dissimilarity-based Multi-view Learning
Simon Bernard, Hongliu Cao, Robert Sabourin +1
Many classification problems are naturally multi-view in the sense their data are described through multiple heterogeneous descriptions. For such tasks, dissimilarity strategies ar…
A Novel Random Forest Dissimilarity Measure for Multi-View Learning
Hongliu Cao, Simon Bernard, Robert Sabourin +1
Multi-view learning is a learning task in which data is described by several concurrent representations. Its main challenge is most often to exploit the complementarities between t…
Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz +1
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 Veri…
A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz +1
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 diffic…
Multi-label learning for dynamic model type recommendation
Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti +1
Dynamic selection techniques aim at selecting the local experts around each test sample in particular for performing its classification. While generating the classifier on a local…
An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings
Andre G. Hochuli, Alceu S. Britto, Jean P. Barddal +2
An end-to-end solution for handwritten numeral string recognition is proposed, in which the numeral string is considered as composed of objects automatically detected and recognize…