In this paper we present a high quality end-to-end out-of-core mesh simplification algorithm that is capable to guarantee a given geometric error compared to the original model. The method consists of three parts: memory insensitive cutting; hierarchical simplification; memory insensitive stitching of adjacent parts. Since the first and last part of the algorithm work entirely on disk and the n...

We present a method for lexical simplification. Simplification rules are learned from a comparable corpus, and the rules are applied in a context-aware fashion to input sentences. Our method is unsupervised. Furthermore, it does not require any alignment or correspondence among the complex and simple corpora. We evaluate the simplification according to three criteria: preservation of grammatica...

Simple Wikipedia has dominated simplification research in the past 5 years. In this opinion paper, we argue that focusing on Wikipedia limits simplification research. We back up our arguments with corpus analysis and by highlighting statements that other researchers have made in the simplification literature. We introduce a new simplification dataset that is a significant improvement over Simpl...

This paper presents the solution to problem of summarizing Kazakh texts. The text summarization is considered as a sequence two tasks: extracting most important sentences and simplifying received sentences. task solved using TF-IDF method neural network technology “Seq2Seq”. Problem NMT for simplification was in absence dataset training. To solve this work propose use transfer learning method. ...

At an early stage of design, models created by Computer Aided Design (CAD) applications are not sent as-is for analysis in Computer Aided Engineering (CAE) applications, especially the non-trivial models. Analysis engineers use their domain expertise to simplify these models so that analysis gets performed with lesser resources without compromising much on accuracy of the results. Such Model Si...

In this contribution, linearized dynamic model of Cumulative Mass Fraction (CMF) of Potassium Nitrate-Water Seeded Continues Mixed Suspension Mixed Product Removal (CMSMPR) crystallizer is approximated by a simplified model in frequency domain. Frequency domain model simplification is performed heuristically using the frequency response of the derived linearized models data. However, the CM...

Complex models generated e.g. with a laser range scanner often consist of several thousand or million triangles. For efficient rendering this high number of primitives has to be reduced. An important property of mesh reduction – or simplification – algorithms used for rendering is the control over the introduced geometric error. In general, the better this control is, the slower the simplificat...

In this paper, we investigate the impact of an object simplification approach in registration using the Iterative Closest Point (ICP) algorithm. Though the simplification of the objects remarkably reduces the registration time, it also raises a critical issue, whether the simplified version of the object carries sufficient information to recover the proper geometric parameters of registration. ...

Computer algebra (CA) or symbolic computation, as my field is known by, consists of two principal research activities, namely, the design, implementation and analysis of algebraic algorithms and, secondly, the design of programming languages, data structures and sofware environments for implementing these algorithms. The research problem that I propose to work on is the simplification problem. ...