Search Results for author:
Found 5 papers, 0 papers with code
MLGCN: An Ultra Efficient Graph Convolution Neural Model For 3D Point Cloud Analysis
To address these limitations we introduce a novel Multi-level Graph Convolution Neural (MLGCN) model, which uses Graph Neural Networks (GNN) blocks to extract features from 3D point clouds at specific locality levels.
The Logical Difference for the Lightweight Description Logic EL
In all three cases, we present polynomial-time algorithms that decide whether two terminologies give the same answers to queries over a given vocabulary and compute a succinct representation of the difference if it is non- empty.
Reasoning About the Transfer of Control
The logical foundation of DCL-PC is CL-PC, a logic for reasoning about cooperation in which the abilities of agents and coalitions of agents stem from a distribution of atomic Boolean variables to individual agents -- the choices available to a coalition correspond to assignments to the variables the coalition controls.
Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis
In this study, we present a method for estimating the mutual information for a localized pattern of fMRI data.
Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions
In this paper, we propose to model such connections in an Hidden Conditional Random Field (HCRF) framework, where the classifier of one region of interest (ROI) makes predictions based on not only its voxels but also the classifier predictions from ROIs that it connects to.
