DBSCAN is a fundamental density-based clustering algorithm with extensive applications. However, a bottleneck of DBSCAN is its O(n2) worst-case time complexity. In this paper, we propose an algorithm called GAP-DBC, which exploits the geometric ...

Abstract This paper provides a complete characterization of solvability of the problem of structural model matching by output feedback in linear impulsive systems with nonuniformly spaced state jumps. Namely, given a linear impulsive plant and a linear ...

This work introduces techniques to facilitate large-scale Augmented Reality (AR) experiences in unprepared outdoor environments. We develop a shape-based object detection framework that works with limited texture and can robustly handle extreme ...

One of the main advantages of the Gantry-Tau machine is a large accessible workspace/footprint ratio compared to many other parallel machines. The design presented in this paper achieves a workspace/footprint ratio of more than 2.7 with fixed length ...

In this paper, we analyze from a geometric perspective the meaningful relations taking place between belief and probability functions in the framework of the geometric approach to the theory of evidence. Starting from the case of binary domains, we ...

The input-space-based concept of quantization density recently introduced in the literature for single-input systems can be regarded as a measure of the amount of information that a static feedback law employs. Here, we introduce a concept of quantizer ...

This paper presents a novel approach to the representation of type-1 and type-2 fuzzy sets utilising computational geometry. To achieve this our approach borrows ideas from the field of computational geometry and applies these techniques in the novel ...

This report gives a condition on stabilizability by double periodic state feedback for linear periodic continuous-time systems. Firstly stable, unstable and reachable subspaces are extended from linear time invariant case. They are spanned by a smooth ...

This paper deals with continuous linear time-invariant systems and is focused on the model-based failure detection and identification problem, and more precisely, on the so-called residual generation problem. Our purpose is to present some new results ...

The problem of making the output of a discrete-time linear system totally insensitive to an exogenous input signal known with preview is tackled in the geometric approach context. A necessary and sufficient condition for exact decoupling with stability ...

This paper deals with the decoupling problems of unknown, measurable, and previewed signals. First, well-known solutions of unknown and measurable disturbance decoupling problems are recalled. Then, new necessary and sufficient constructive conditions ...

A refinement to the (k,n) threshold scheme proposed by Wu and He [1] is presented. It has been found that usable primes p need not be confined to the form p = +/-3 (mod 8) as suggested originally. Our constructive proof also lead to a different ...

Abstract: A geometric scheme for detecting, representing, and measuring 3D medical data is presented. The technique based on deforming 3D surfaces, represented via level-sets, towards the medical objects, according to intrinsic geometric measures of the ...

We consider minimality under external equivalence for linear, time-invariant, implicit (E, A, B, C) descriptions of the type Ex(t) = Ax(t) + Bu(t), y(t) = Cx(t). Necessary and sufficient conditions for external minimality have been previously given, ...

A one-to-one correspondence is shown to exist between the lattice of all self-bounded (A, ź)-controlled invariants contained in ź and the lattice of all self-hidden (A, ź)-conditioned invariants containing ź. This correspondence, stated herein as the ...