6 citations · 15 across the 12 of their papers we have counts for
12 papers
A systematic association of subgraph counts over a network
Dimitris Floros, Nikos Pitsianis, Xiaobai Sun
We associate all small subgraph counting problems with a systematic graph encoding/representation system which makes a coherent use of graphlet structures. The system can serve as…
Using Graphlet Spectrograms for Temporal Pattern Analysis of Virus-Research Collaboration Networks
Dimitris Floros, Tiancheng Liu, Nikos Pitsianis +1
We introduce a new method for temporal pattern analysis of scientific collaboration networks. We investigate in particular virus research activities through five epidemic or pandem…
Fast Graphlet Transform of Sparse Graphs
Dimitris Floros, Nikos Pitsianis, Xiaobai Sun
We introduce the computational problem of graphlet transform of a sparse large graph. Graphlets are fundamental topology elements of all graphs/networks. They can be used as coding…
iPhantom: a framework for automated creation of individualized computational phantoms and its application to CT organ dosimetry
Wanyi Fu, Shobhit Sharma, Ehsan Abadi +6
Objective: This study aims to develop and validate a novel framework, iPhantom, for automated creation of patient-specific phantoms or digital-twins (DT) using patient medical imag…
Spaceland Embedding of Sparse Stochastic Graphs
Nikos Pitsianis, Alexandros-Stavros Iliopoulos, Dimitris Floros +1
We introduce a nonlinear method for directly embedding large, sparse, stochastic graphs into low-dimensional spaces, without requiring vertex features to reside in, or be transform…
Damping Effect on PageRank Distribution
Tiancheng Liu, Yuchen Qian, Xi Chen +1
This work extends the personalized PageRank model invented by Brin and Page to a family of PageRank models with various damping schemes. The goal with increased model variety is to…
Rapid Near-Neighbor Interaction of High-dimensional Data via Hierarchical Clustering
Nikos Pitsianis, Dimitris Floros, Alexandros-Stavros Iliopoulos +3
Calculation of near-neighbor interactions among high dimensional, irregularly distributed data points is a fundamental task to many graph-based or kernel-based machine learning alg…
Iterative Inversion of Deformation Vector Fields with Feedback Control
Abhishek Kumar Dubey, Alexandros-Stavros Iliopoulos, Xiaobai Sun +2
Purpose: Often, the inverse deformation vector field (DVF) is needed together with the corresponding forward DVF in 4D reconstruction and dose calculation, adaptive radiation thera…
Profile-Driven Automated Mixed Precision
Ralph Nathan, Helia Naeimi, Daniel J. Sorin +1
We present a scheme to automatically set the precision of floating point variables in an application. We design a framework that profiles applications to measure undesirable numeri…
DCTNet and PCANet for acoustic signal feature extraction
Yin Xian, Andrew Thompson, Xiaobai Sun +2
We introduce the use of DCTNet, an efficient approximation and alternative to PCANet, for acoustic signal classification. In PCANet, the eigenfunctions of the local sample covarian…
Hyperspectral Image Classification and Clutter Detection via Multiple Structural Embeddings and Dimension Reductions
Alexandros-Stavros Iliopoulos, Tiancheng Liu, Xiaobai Sun
We present a new and effective approach for Hyperspectral Image (HSI) classification and clutter detection, overcoming a few long-standing challenges presented by HSI data characte…
Recycled Error Bits: Energy-Efficient Architectural Support for Higher Precision Floating Point
Ralph Nathan, Bryan Anthonio, Shih-Lien Lu +3
In this work, we provide energy-efficient architectural support for floating point accuracy. Our goal is to provide accuracy that is far greater than that provided by the processor…