19 citations · 36 across the 5 of their papers we have counts for
5 papers
The Importance of the Instantaneous Phase for classification using Convolutional Neural Networks
Luis Sanchez Tapia, Marios S. Pattichis, Sylvia Celedon-Pattichis +1
Large-scale training of Convolutional Neural Networks (CNN) is extremely demanding in terms of computational resources. Also, for specific applications, the standard use of transfe…
Bilingual Speech Recognition by Estimating Speaker Geometry from Video Data
Luis Sanchez Tapia, Antonio Gomez, Mario Esparza +4
Speech recognition is very challenging in student learning environments that are characterized by significant cross-talk and background noise. To address this problem, we present a…
Fast 2D Convolutions and Cross-Correlations Using Scalable Architectures
Cesar Carranza, Daniel Llamocca, Marios Pattichis
The manuscript describes fast and scalable architectures and associated algorithms for computing convolutions and cross-correlations. The basic idea is to map 2D convolutions and c…
Fast and Scalable Computation of the Forward and Inverse Discrete Periodic Radon Transform
Cesar Carranza, Daniel Llamocca, Marios Pattichis
The Discrete Periodic Radon Transform (DPRT) has been extensively used in applications that involve image reconstructions from projections. This manuscript introduces a fast and sc…
Person Detection in Collaborative Group Learning Environments Using Multiple Representations
Wenjing Shi, Marios S. Pattichis, Sylvia Celedón-Pattichis +1
We introduce the problem of detecting a group of students from classroom videos. The problem requires the detection of students from different angles and the separation of the grou…