65 citations · 145 across the 12 of their papers we have counts for
13 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…
Image Processing Methods for Coronal Hole Segmentation, Matching, and Map Classification
V. Jatla, M. S. Pattichis, C. N. Arge
The paper presents the results from a multi-year effort to develop and validate image processing methods for selecting the best physical models based on solar image observations. T…
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…
Facial Recognition in Collaborative Learning Videos
Phuong Tran, Marios Pattichis, Sylvia Celedón-Pattichis +1
Face recognition in collaborative learning videos presents many challenges. In collaborative learning videos, students sit around a typical table at different positions to the reco…
Talking Detection In Collaborative Learning Environments
Wenjing Shi, Marios S. Pattichis, Sylvia Celedón-Pattichis +1
We study the problem of detecting talking activities in collaborative learning videos. Our approach uses head detection and projections of the log-magnitude of optical flow vectors…
Fast Hand Detection in Collaborative Learning Environments
Sravani Teeparthi, Venkatesh Jatla, Marios S. Pattichis +2
Long-term object detection requires the integration of frame-based results over several seconds. For non-deformable objects, long-term detection is often addressed using object det…
Adaptive Video Encoding For Different Video Codecs
Gangadharan Esakki, Andreas Panayides, Venkatesh Jatla +1
By 2022, we expect video traffic to reach 82% of the total internet traffic. Undoubtedly, the abundance of video-driven applications will likely lead internet video traffic percent…
Multidataset Independent Subspace Analysis with Application to Multimodal Fusion
Rogers F. Silva, Sergey M. Plis, Tulay Adali +2
In the last two decades, unsupervised latent variable models---blind source separation (BSS) especially---have enjoyed a strong reputation for the interpretable features they produ…
Estimating Total Open Heliospheric Magnetic Flux
S. Wallace, C. N. Arge, M. Pattichis +2
Over the solar-activity cycle, there are extended periods where significant discrepancies occur between the spacecraft-observed total (unsigned) open magnetic flux and that determi…
A Large-scale Multimodal Study for Predicting Mortality Risk Using Minimal and Low Parameter Models and Separable Risk Assessment
Alvaro E. Ulloa Cerna, Marios Pattichis, David P. vanMaanen +5
The majority of biomedical studies use limited datasets that may not generalize over large heterogeneous datasets that have been collected over several decades. The current paper d…