Results 121 to 130 of about 251,801 (209)

Extending a theorem by Fiedler and applications to graph energy

, 2010
We use a lemma due to Fiedler to obtain eigenspaces of some graphs and apply these results to graph energy (= the sum of absolute values of the graph eigenvalues = the sum of singular values of the adjacency matrix).
Gutman, I., Robbiano, M., Martins, E. A.
core  

Bi-layer segmentation of binocular stereo video

, 2005
This paper describes two algorithms capable of real-time segmentation of foreground from background layers in stereo video sequences. Automatic separation of layers from colour/contrast or from stereo alone is known to be error-prone.
A. Blake, Kolmogorov, V, Criminisi, A, G. Cross, C. Rother, V. Kolmogorov, Blake, A, Cross, G, Rother, C, A. Criminisi   +9 more
core  

Cross-sectional buildings energy benchmarking knowledge graph: Barcelona city scale dataset. [PDF]

Data Brief
Martínez-Sarmiento EA, Gabaldon E, Cipriano J, García R, Danov S.   +4 more
europepmc   +1 more source

Energy-based bond graph models of glucose transport with SLC transporters. [PDF]

Biophys J
Hunter PJ, Ai W, Nickerson DP.
europepmc   +1 more source

Accessing Numerical Energy Hessians with Graph Neural Network Potentials and Their Application in Heterogeneous Catalysis. [PDF]

J Phys Chem C Nanomater Interfaces
Wander B, Musielewicz J, Cheula R, Kitchin JR.   +3 more
europepmc   +1 more source

PCN: a deep learning approach to jet tagging utilizing novel graph construction methods and Chebyshev graph convolutions

Jet tagging is a classification problem in high-energy physics experiments that aims to identify the collimated sprays of subatomic particles, jets, from particle collisions and ‘tag’ them to their emitter particle.
Krithik Ramesh, Semlani, Yash, Yash Semlani, Relan, Mihir, Mihir Relan, Ramesh, Krithik   +5 more
core   +1 more source

Leveraging Persistent Homology Features for Accurate Defect Formation Energy Predictions via Graph Neural Networks. [PDF]

Chem Mater
Fang Z, Yan Q.
europepmc   +1 more source

Graph energy

, 2019
Magistrsko delo zajema področje kemijske teorije grafov. Energija grafa je ena izmed invariant grafa, ki je povezana s fizikalno-kemijskimi lastnostmi obravnavanih molekul.
Zemljič, Katja
core  

Accurate prediction of protein-ligand interactions by combining physical energy functions and graph-neural networks. [PDF]

J Cheminform
Hong Y, Ha J, Sim J, Lim CJ, Oh KS, Chandrasekaran R, Kim B, Choi J, Ko J, Shin WH, Lee J.   +10 more
europepmc   +1 more source

An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision

, 2004
Minimum cut/maximum flow algorithms on graphs have emerged as an increasingly useful tool for exactor approximate energy minimization in low-level vision.
Yuri Boykov, Kolmogorov, V., Vladimir Kolmogorov, Boykov, Y.   +3 more
core