Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Cruz, Rafael M. O."'
Handwritten Signature Verification (HSV) systems distinguish between genuine and forged signatures. Traditional HSV development involves a static batch configuration, constraining the system's ability to model signatures to the limited data available
Externí odkaz:
http://arxiv.org/abs/2411.06510
Autor:
Jalalian, Hesam, Cruz, Rafael M. O.
Dynamic Selection (DS), where base classifiers are chosen from a classifier's pool for each new instance at test time, has shown to be highly effective in pattern recognition. However, instability and redundancy in the classifier pools can impede com
Externí odkaz:
http://arxiv.org/abs/2407.07528
A key challenge in visible-infrared person re-identification (V-I ReID) is training a backbone model capable of effectively addressing the significant discrepancies across modalities. State-of-the-art methods that generate a single intermediate bridg
Externí odkaz:
http://arxiv.org/abs/2403.10782
Autor:
Dib, Abdallah, Hafemann, Luiz Gustavo, Got, Emeline, Anderson, Trevor, Fadaeinejad, Amin, Cruz, Rafael M. O., Carbonneau, Marc-Andre
Reconstructing an avatar from a portrait image has many applications in multimedia, but remains a challenging research problem. Extracting reflectance maps and geometry from one image is ill-posed: recovering geometry is a one-to-many mapping problem
Externí odkaz:
http://arxiv.org/abs/2312.13091
Publikováno v:
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Dynamic Ensemble Selection (DES) is a Multiple Classifier Systems (MCS) approach that aims to select an ensemble for each query sample during the selection phase. Even with the proposal of several DES approaches, no particular DES technique is the be
Externí odkaz:
http://arxiv.org/abs/2309.14307
Visible-infrared person re-identification seeks to retrieve images of the same individual captured over a distributed network of RGB and IR sensors. Several V-I ReID approaches directly integrate both V and I modalities to discriminate persons within
Externí odkaz:
http://arxiv.org/abs/2307.03240
Autor:
Barboza, Eduardo V. L., de Almeida, Paulo R. Lisboa, Britto Jr, Alceu de Souza, Cruz, Rafael M. O.
Data normalization is an essential task when modeling a classification system. When dealing with data streams, data normalization becomes especially challenging since we may not know in advance the properties of the features, such as their minimum/ma
Externí odkaz:
http://arxiv.org/abs/2307.00106
Visible-infrared person re-identification (V-I ReID) seeks to match images of individuals captured over a distributed network of RGB and IR cameras. The task is challenging due to the significant differences between V and I modalities, especially und
Externí odkaz:
http://arxiv.org/abs/2305.00320
Publikováno v:
Applied Soft Computing, Volume 133, January 2023, 109924
Dataset scaling, also known as normalization, is an essential preprocessing step in a machine learning pipeline. It is aimed at adjusting attributes scales in a way that they all vary within the same range. This transformation is known to improve the
Externí odkaz:
http://arxiv.org/abs/2212.12343
The re-identification (ReID) of individuals over a complex network of cameras is a challenging task, especially under real-world surveillance conditions. Several deep learning models have been proposed for visible-infrared (V-I) person ReID to recogn
Externí odkaz:
http://arxiv.org/abs/2211.11925