Abstract: The matrix completion problem is restoring a given matrix with missing entries when handling incomplete data. In many existing researches, rank minimization plays a central role in matrix ...

Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t-SNE, but also for general non-linear dimension reduction. The ...

The area of approximation algorithms is aimed at giving provable guarantees on the performance of heuristics for hard problems. The course will present general techniques (such as convex ...

1 New Technology and Local Development Laboratory, Department of Hydraulic and Civil Engineering, Faculty of Technology, University of El-Oued, El-Oued, Algeria. 2 School of Agriculture, Polytechnic ...

TL;DR ApET introduces an attention-free, approximation-error guided token compression framework for VLMs that maximally preserves visual information by pruning tokens ...

This paper constructs a simple model in which asset price fluctuations are caused by sunspots. Most existing sunspot models use local linear approximations: instead, I construct global sunspot ...

Linear multiplicative models are popular tools for analyzing data with positive responses. However, the linear structure of models is too restrictive on the regression relation, which may lead to a ...

This page provides a link to TurboParser, a free multilingual dependency parser developed by André Martins. Dependency parsing is a lightweight syntactic formalism that relies on lexical relationships ...

Transportation Science, Vol. 38, No. 3 (August 2004), pp. 343-356 (14 pages) Bounds and approximate formulae are developed for the average optimum distance of the transportation linear programming ...

Department of Molecular and Material Sciences, Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, 6-1 Kasuga-Park, Fukuoka 816-8580, Japan Article Views are the ...