Article
Physics, Multidisciplinary
Hiroki Murakami, Norimasa Yamada
Summary: Fitts studied information capacity and transfer in the speed-accuracy motor paradigm using a theoretical approach based on information theory. By estimating information entropy and mutual information of multiple human movement trajectories, Fitts found that information was processed from the first half of the trajectory in difficult tasks.
Article
Multidisciplinary Sciences
Gangtao Xin, Pingyi Fan
Summary: With the advancement of intelligent vision algorithms and devices, image reprocessing and secondary propagation are becoming increasingly prevalent. Soft compression, a novel data-driven image coding algorithm, shows superior performance in contrast to traditional methods and holds promise for human-centric/data-centric intelligent systems. This paper presents a comprehensive analysis of soft compression and reveals the functional role of each component in the system.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Artificial Intelligence
Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, Hui Yu
Summary: Cross-modal clustering aims to improve clustering accuracy by exploiting correlations across modalities. We propose a novel deep correlated information bottleneck (DCIB) method to tackle the challenges of capturing correlations and eliminating modality-private information. DCIB treats the CMC task as a two-stage data compression procedure, preserving correlations while eliminating modality-private information. Experimental results on four cross-modal datasets validate the superiority of DCIB.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Computer Science, Theory & Methods
Nikolay Vereshchagin
Summary: In this paper, we consider Levin's notion of mutual information in infinite 0-1-sequences and prove the probabilistic conservation inequality. Additionally, we provide brief proofs of other properties of this notion for completeness.
THEORETICAL COMPUTER SCIENCE
(2021)
Article
Optics
Ignacio Perito, Guido Bellomo, Daniel Galicer, Santiago Figueira, Augusto J. Roncaglia, Ariel Bendersky
Summary: The study characterizes the set of nonsignaling correlations using a two-dimensional representation involving the maximal value of a Bell functional and the mutual information between the parties. By investigating the frontier between quantum and postquantum subsets of nonsignaling correlations, the analysis reveals a trade-off between classical correlations and violations of Bell inequalities. The Tsirelson bound is identified as a singular point of this trade-off, independent of quantum mechanics.
Article
Astronomy & Astrophysics
Kendra Bueley, Luosi Huang, Kensuke Gallock-Yoshimura, Robert B. Mann
Summary: The study investigates the correlation harvesting protocol for mutual information between two Unruh-DeWitt detectors in a static Banados-Teitelboim-Zanelli black hole spacetime. The findings indicate that the harvested mutual information is zero when a detector reaches an event horizon, and extreme Hawking radiation inhibits detectors from harvesting mutual information.
Article
Biochemical Research Methods
Antoine Passemiers, Yves Moreau, Daniele Raimondi
Summary: This article presents a novel method called PORTIA for inferring gene regulatory networks (GRNs). The method is based on robust precision matrix estimation and is shown to outperform state-of-the-art methods in terms of speed while still maintaining good accuracy. The authors extensively validated PORTIA using benchmark datasets and propose a new scoring metric based on graph-theoretical concepts.
Article
Biochemical Research Methods
Snehalika Lall, Sumanta Ray, Sanghamitra Bandyopadhyay
Summary: The study introduces a method RgCop based on regularized copula for stable and predictive gene selection in large-scale single cell RNA sequencing data, improving clustering/classification performance and enhancing the robustness of the method.
PLOS COMPUTATIONAL BIOLOGY
(2021)
Article
Materials Science, Multidisciplinary
Haiyang Song, Yinghe Zhao, Eleanor Turner, Yu Wu, Yuan Li, Menghao Wu, Guang Feng, Huiqiao Li, Tianyou Zhai
Summary: Researchers have established a new framework using the theory of mutual information to capture 2D van der Waals magnets with high probability for experimental demonstration from materials science literature. This framework has the potential to revolutionize the experimental discovery of 2D vdW magnets.
Article
Computer Science, Artificial Intelligence
Qiang Li
Summary: This article discusses methods for quantifying information transmission, including mutual information, interaction information, and total correlation, to help understand the relationships between variables and the differences in information transfer between brain regions. Additionally, a new method is proposed to better determine the interaction information between three variables.
Article
Computer Science, Information Systems
Tapas Bhadra, Sanghamitra Bandyopadhyay
Summary: The paper proposes a novel supervised feature selection approach based on dense subgraph discovery. The algorithm proceeds in two phases to select features with maximal average class relevance, minimal average pairwise redundancy, and good discriminating power. Experimental results show the proposed approach is competitive with conventional and state-of-the-art algorithms in supervised feature selection.
INFORMATION SCIENCES
(2021)
Article
Optics
Chenyu Hu, Ruiguo Zhu, Hong Yu, Shensheng Han
Summary: The paper introduces a novel Fourier-transform ghost imaging scheme that reconstructs the Fourier spectrum of the object by averaging partial reference patterns with high fluctuations in object-arm detection values, improving sampling efficiency, and expanding the application of FGI by combining it with other reconstruction techniques.
Article
Nanoscience & Nanotechnology
A. R. P. Moreira
Summary: In this article, the statistical properties of fermions in Rindler spacetime are investigated using Shannon's quantum information and thermodynamic properties. The wave solutions and energy spectrum associated with the Dirac equation in a non-inertial frame are derived, revealing that the acceleration of the non-inertial frame mimics an external potential and allows bound states formation. The quantum entropy in position and momentum space is analyzed using the wave solutions, and the thermodynamic properties of the system are studied based on the energy spectrum. These statistical properties shed light on the influence of acceleration in non-inertial frames on quantum information.
PHYSICA E-LOW-DIMENSIONAL SYSTEMS & NANOSTRUCTURES
(2023)
Article
Environmental Sciences
Yuan Cao, Danchen Zhang, Xin Zheng, Hongming Shan, Junping Zhang
Summary: This article evaluates the information content of different lengths of precipitation nowcasting tasks using mutual information and proposes two strategies: a mutual information-based reweighting strategy (MIR) and a mutual information-based training strategy (TSS). These strategies effectively improve the forecasting accuracy for convective scenarios while maintaining prediction performance for rainless scenarios and overall nowcasting image quality, and can be applied to various state-of-the-art models.
Article
Computer Science, Software Engineering
Alfredo Ibias
Summary: This paper introduces the use of Mutual Information as a measure for generating test suites and presents a new algorithm that utilizes Biased Mutual Information. Experimental results show that this approach is more effective in generating test suites with high fault finding capability compared to other measures and methods. It allows for a compromise between fault detection and execution time.
JOURNAL OF SYSTEMS AND SOFTWARE
(2022)