Rigid structures such as cars or any other solid objects are often
repre...
A finite set of unlabelled points in Euclidean space is the simplest
rep...
This paper solves the continuous classification problem for finite cloud...
Periodic Geometry studies isometry invariants of periodic point sets tha...
Use of graphs to represent molecular crystals has become popular in rece...
This paper is motivated by the k-nearest neighbors search: given an arbi...
A finite cloud of unlabeled points is the simplest representation of man...
The inevitable noise in real measurements motivates the problem to
conti...
Periodic point sets model all solid crystalline materials whose structur...
Molecular crystal structure prediction (CSP) seeks the most stable perio...
Persistent homology is a popular and useful tool for analysing point set...
This paper studies the important problem of finding all k-nearest neighb...
This paper studies the classical problem of finding all k nearest neighb...
Rigid shapes should be naturally compared up to rigid motion or isometry...
This paper extends the recently obtained complete and continuous map of ...
A periodic lattice in Euclidean space is the infinite set of all integer...
Crystal Structure Prediction (CSP) aims to discover solid crystalline
ma...
The fundamental model of a periodic structure is a periodic set of point...
Modeling a crystal as a periodic point set, we present a fingerprint
con...
This monograph introduces key concepts and problems in the new research ...
This paper extends the key concept of persistence within Topological Dat...
The tree reconstruction problem is to find an embedded straight-line tre...
The over-segmentation into superpixels is an important preprocessing ste...
Data Science aims to extract meaningful knowledge from unorganised data....
Real datasets often come in the form of an unorganised cloud of points. ...
Let X be a simplicial complex with a piecewise linear function
f:X→R. Th...
The Vietoris-Rips filtration for an n-point metric space is a sequence o...
Preprocessing a 2D image often produces a noisy cloud of interest points...