13 citations · 25 across the 4 of their papers we have counts for
4 papers
Unsupervised Manifold Alignment with Joint Multidimensional Scaling
Dexiong Chen, Bowen Fan, Carlos Oliver +1
We introduce Joint Multidimensional Scaling, a novel approach for unsupervised manifold alignment, which maps datasets from two different domains, without any known correspondences…
Approximate Network Motif Mining Via Graph Learning
Carlos Oliver, Dexiong Chen, Vincent Mallet +2
Frequent and structurally related subgraphs, also known as network motifs, are valuable features of many graph datasets. However, the high computational complexity of identifying m…
Difficulty Scaling in Proof of Work for Decentralized Problem Solving
Pericles Philippopoulos, Alessandro Ricottone, Carlos G. Oliver
We propose DIPS Difficulty-based Incentives for Problem Solving), a simple modification of the Bitcoin proof-of-work algorithm that rewards blockchain miners for solving optimizati…
Proposal for a fully decentralized blockchain and proof-of-work algorithm for solving NP-complete problems
Carlos G. Oliver, Alessandro Ricottone, Pericles Philippopoulos
We propose a proof-of-work algorithm that rewards blockchain miners for using computational resources to solve NP-complete puzzles. The resulting blockchain will publicly store and…