Results 171 to 180 of about 49,338 (223)
On universal‐homogeneous hyperbolic graphs and spaces and their isometry groups
Abstract The Urysohn space is the unique separable metric space that is universal and homogeneous for finite metric spaces, that is, it embeds any finite metric space any isometry between finite subspaces extends to an isometry of the whole space. We here consider the existence of a universal‐homogeneous hyperbolic space. We show that for δ>0$\delta >0$
Katrin Tent
wiley +1 more source
Application of Subspace Clustering in DNA Sequence Analysis. [PDF]
Wallace T, Sekmen A, Wang X.
europepmc +1 more source
Abstract We count and give a parametrization of connected components in the space of flags transverse to a given transverse pair in every flag varieties of SO0(p,q)$\operatorname{SO}_0(p,q)$. We compute the effect the involution of the unipotent radical has on those components and, using methods of Dey–Greenberg–Riestenberg, we show that for certain ...
Clarence Kineider, Roméo Troubat
wiley +1 more source
Optimal Transport: A permutation‐invariant "harness" measures true geometric distance improves performance and robustness. Gaussian process (GP) regression provides a strategy for accelerating saddle point searches on high‐dimensional energy surfaces by reducing the number of times the energy and its derivatives with respect to atomic coordinates need ...
Rohit Goswami, Hannes Jónsson
wiley +1 more source
A Self-Training Subspace Clustering Algorithm under Low-Rank Representation for Cancer Classification on Gene Expression Data. [PDF]
Xia CQ, Han K, Qi Y, Zhang Y, Yu DJ.
europepmc +1 more source
Erratum to "N-Screen Aware Multicriteria Hybrid Recommender System Using Weight Based Subspace Clustering". [PDF]
Ullah F, Sarwar G, Lee S.
europepmc +1 more source
Random subspace-based ensemble classifier for high-dimensional data Using SPARK. [PDF]
Bhimineni VC, Senapati R.
europepmc +1 more source
Clustering single-cell multi-omics data via multi-subspace contrastive learning with structural smoothness. [PDF]
Ding Y +5 more
europepmc +1 more source
N-screen aware multicriteria hybrid recommender system using weight based subspace clustering. [PDF]
Ullah F, Ullah F, Sarwar G, Lee S.
europepmc +1 more source

