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Algorithms, Volume 14, Issue 12

December 2021 - 30 articles

Cover Story: MILTree (Multiple-Instance Learning Tree) is a multiscale tree-based visualization to support multiple-instance learning (MIL) problems. The first level of the tree represents the bags, and the second level represents the instances belonging to each bag, allowing users to understand the MIL datasets in an intuitive way. Two new instance selection methods are introduced as well. View this paper.
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Articles (30)

  • Article
  • Open Access
4 Citations
2,913 Views
21 Pages

20 December 2021

Considering the contradiction between limited node resources and high detection costs in mobile multimedia networks, an adaptive and lightweight abnormal node detection algorithm based on artificial immunity and game theory is proposed in order to ba...

  • Article
  • Open Access
3 Citations
3,869 Views
29 Pages

Subspace Detours Meet Gromov–Wasserstein

  • Clément Bonet,
  • Titouan Vayer,
  • Nicolas Courty,
  • François Septier and
  • Lucas Drumetz

17 December 2021

In the context of optimal transport (OT) methods, the subspace detour approach was recently proposed by Muzellec and Cuturi. It consists of first finding an optimal plan between the measures projected on a wisely chosen subspace and then completing i...

  • Article
  • Open Access
2,741 Views
15 Pages

17 December 2021

In a previous paper by the author, a pathfinding problem for directed trees is studied under the following situation: each edge has a nonnegative integer length, but the length is unknown in advance and should be found by a procedure whose computatio...

  • Article
  • Open Access
2,859 Views
15 Pages

16 December 2021

When several Nash equilibria exist in the game, decision-makers need to refine their choices based on some refinement concepts. To this aim, the notion of a ϵ-proper equilibria set for polymatrix games is used to develop 0–1 mixed linear...

  • Review
  • Open Access
6 Citations
4,679 Views
33 Pages

Metaheuristics in the Humanitarian Supply Chain

  • Francisca Santana Robles,
  • Eva Selene Hernández-Gress,
  • Neil Hernández-Gress and
  • Rafael Granillo Macias

15 December 2021

Everyday there are more disasters that require Humanitarian Supply Chain (HSC) attention; generally these problems are difficult to solve in reasonable computational time and metaheuristics (MHs) are the indicated solution algorithms. To our knowledg...

  • Article
  • Open Access
5 Citations
3,579 Views
13 Pages

14 December 2021

Due to its ability to significantly improve the wireless communication efficiency, the intelligent reflective surface (IRS) has aroused widespread research interest. However, it is a challenge to obtain perfect channel state information (CSI) for IRS...

  • Article
  • Open Access
6 Citations
3,382 Views
14 Pages

A Domain Adaptive Person Re-Identification Based on Dual Attention Mechanism and Camstyle Transfer

  • Chengyan Zhong,
  • Guanqiu Qi,
  • Neal Mazur,
  • Sarbani Banerjee,
  • Devanshi Malaviya and
  • Gang Hu

13 December 2021

Due to the variation in the image capturing process, the difference between source and target sets causes a challenge in unsupervised domain adaptation (UDA) on person re-identification (re-ID). Given a labeled source training set and an unlabeled ta...

  • Article
  • Open Access
4 Citations
3,915 Views
24 Pages

13 December 2021

In this work, we give provable sieving algorithms for the Shortest Vector Problem (SVP) and the Closest Vector Problem (CVP) on lattices in ℓp norm (1≤p≤∞). The running time we obtain is better than existing provable sieving algorit...

  • Article
  • Open Access
2,618 Views
15 Pages

11 December 2021

We address the basic question in discrete Morse theory of combining discrete gradient fields that are partially defined on subsets of the given complex. This is a well-posed question when the discrete gradient field V is generated using a fixed algor...

  • Article
  • Open Access
14 Citations
3,648 Views
22 Pages

10 December 2021

This paper describes a unique meta-heuristic technique for hybridizing bio-inspired heuristic algorithms. The technique is based on altering the state of agents using a logistic probability function that is dependent on an agent’s fitness rank....

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Algorithms - ISSN 1999-4893