2 citations · 3 across the 3 of their papers we have counts for
5 papers
IGLU: The Integrated Gaussian Linear Unit Activation Function
Mingi Kang, Zai Yang, Jeova Farias Sales Rocha Neto
Activation functions are fundamental to deep neural networks, governing gradient flow, optimization stability, and representational capacity. Within historic deep architectures, wh…
Unifying Convolution and Attention via Convolutional Nearest Neighbors
Mingi Kang, Jeová Farias Sales Rocha Neto
Convolutional Neural Networks and Vision Transformers are the two dominant architectural families in computer vision, defined by spatially local convolution and global self-attenti…
Spectral Clustering of Categorical and Mixed-type Data via Extra Graph Nodes
Dylan Soemitro, Jeova Farias Sales Rocha Neto
Clustering data objects into homogeneous groups is one of the most important tasks in data mining. Spectral clustering is arguably one of the most important algorithms for clusteri…
Patch-Based Deep Unsupervised Image Segmentation using Graph Cuts
Isaac Wasserman, Jeova Farias Sales Rocha Neto
Unsupervised image segmentation aims at grouping different semantic patterns in an image without the use of human annotation. Similarly, image clustering searches for groupings of…
Using Neural Networks for Fast SAR Roughness Estimation of High Resolution Images
Li Fan, Jeova Farias Sales Rocha Neto
The analysis of Synthetic Aperture Radar (SAR) imagery is an important step in remote sensing applications, and it is a challenging problem due to its inherent speckle noise. One t…