Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Passos, Leandro A."'
Autor:
Passos, Leandro A., Rodrigues, Douglas, Jodas, Danilo, Costa, Kelton A. P., Adeel, Ahsan, Papa, João Paulo
This paper presents BioNeRF, a biologically plausible architecture that models scenes in a 3D representation and synthesizes new views through radiance fields. Since NeRF relies on the network weights to store the scene's 3-dimensional representation
Externí odkaz:
http://arxiv.org/abs/2402.07310
Quality classification of wood boards is an essential task in the sawmill industry, which is still usually performed by human operators in small to median companies in developing countries. Machine learning algorithms have been successfully employed
Externí odkaz:
http://arxiv.org/abs/2310.13490
The continuous computational power growth in the last decades has made solving several optimization problems significant to humankind a tractable task; however, tackling some of them remains a challenge due to the overwhelming amount of candidate sol
Externí odkaz:
http://arxiv.org/abs/2301.13671
DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification
Research on remote sensing image classification significantly impacts essential human routine tasks such as urban planning and agriculture. Nowadays, the rapid advance in technology and the availability of many high-quality remote sensing images crea
Externí odkaz:
http://arxiv.org/abs/2212.10411
Identifying anomalies has become one of the primary strategies towards security and protection procedures in computer networks. In this context, machine learning-based methods emerge as an elegant solution to identify such scenarios and learn irrelev
Externí odkaz:
http://arxiv.org/abs/2212.02507
Autor:
Roder, Mateus, Almeida, Jurandy, de Rosa, Gustavo H., Passos, Leandro A., Rossi, André L. D., Papa, João P.
In the last decade, exponential data growth supplied machine learning-based algorithms' capacity and enabled their usage in daily-life activities. Additionally, such an improvement is partially explained due to the advent of deep learning techniques,
Externí odkaz:
http://arxiv.org/abs/2211.17045
Demands for minimum parameter setup in machine learning models are desirable to avoid time-consuming optimization processes. The $k$-Nearest Neighbors is one of the most effective and straightforward models employed in numerous problems. Despite its
Externí odkaz:
http://arxiv.org/abs/2209.12647
Autor:
Pereira, Talita A., Popim, Regina C., Passos, Leandro A., Pereira, Danillo R., Pereira, Clayton R., Papa, João P.
Complex wounds usually face partial or total loss of skin thickness, healing by secondary intention. They can be acute or chronic, figuring infections, ischemia and tissue necrosis, and association with systemic diseases. Research institutes around t
Externí odkaz:
http://arxiv.org/abs/2209.12822
This paper proposes the MBURST, a novel multimodal solution for audio-visual speech enhancements that consider the most recent neurological discoveries regarding pyramidal cells of the prefrontal cortex and other brain regions. The so-called burst pr
Externí odkaz:
http://arxiv.org/abs/2209.03275
Despite the recent success of machine learning algorithms, most models face drawbacks when considering more complex tasks requiring interaction between different sources, such as multimodal input data and logical time sequences. On the other hand, th
Externí odkaz:
http://arxiv.org/abs/2206.02671