no code implementations • 31 Mar 2023 • Mohammad Khodadad, Morteza Rezanejad, Ali Shiraee Kasmaee, Kaleem Siddiqi, Dirk Walther, Hamidreza Mahyar
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.
no code implementations • 23 Jan 2014 • Boris Konev, Michel Ludwig, Dirk Walther, Frank Wolter
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.
no code implementations • 16 Jan 2014 • Wiebe van der Hoek, Dirk Walther, Michael Wooldridge
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.
no code implementations • NeurIPS 2009 • Barry Chai, Dirk Walther, Diane Beck, Li Fei-Fei
In this study, we present a method for estimating the mutual information for a localized pattern of fMRI data.
no code implementations • NeurIPS 2009 • Bangpeng Yao, Dirk Walther, Diane Beck, Li Fei-Fei
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.