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Grain growth competition during solidification determines microstructural features, such as dendritic arm spacings, segregation pattern, and grain texture, which have a key impact on the final mechanical properties. During metal additive…

Materials Science · Physics 2023-06-23 Rouhollah Tavakoli , Damien Tourret

Recently, tactile sensing has attracted great interest in robotics, especially for facilitating exploration of unstructured environments and effective manipulation. A detailed understanding of the surface textures via tactile sensing is…

Robotics · Computer Science 2020-08-12 Guanqun Cao , Yi Zhou , Danushka Bollegala , Shan Luo

Stiffness estimation is crucial for delicate object manipulation in robotic and prosthetic hands but remains challenging due to dependence on force and displacement measurement and real-time sensory integration. This study presents a…

Robotics · Computer Science 2025-07-22 Anway S. Pimpalkar , Ariel Slepyan , Nitish V. Thakor

Texture is an important spatial feature which plays a vital role in content based image retrieval. The enormous growth of the internet and the wide use of digital data have increased the need for both efficient image database creation and…

Computer Vision and Pattern Recognition · Computer Science 2011-11-11 B. Vijayalakshmi , V. Subbiah Bharathi

Human behavior and interactions are profoundly influenced by visual stimuli present in their surroundings. This influence extends to various aspects of life, notably food consumption and selection. In our study, we employed various models…

Computer Vision and Pattern Recognition · Computer Science 2025-03-11 Mushfiqur Rahman Abir , Md. Tanzib Hosain , Md. Abdullah-Al-Jubair , M. F. Mridha

In this work, we characterize the water absorption properties of selected porous materials through a combined approach that integrates laboratory experiments and mathematical modeling. Specifically, experimental data from imbibition tests…

Numerical Analysis · Mathematics 2026-05-08 Elishan C. Braun , Gabriella Bretti , Melania Di Fazio , Laura Medeghini , Mario Pezzella

Multimodal large language models have demonstrated strong ability in capturing semantic representations for multimodal sentiment analysis. Their capacity to learn stable and generalizable multimodal features is limited, however, by the…

Machine Learning · Computer Science 2026-05-26 Jiazhang Liang , Jianheng Dai , Miaosen Luo , Menghua Jiang , Sijie Mai

Model merging has emerged as a promising solution to accommodate multiple large models within constrained memory budgets. We present StatsMerging, a novel lightweight learning-based model merging method guided by weight distribution…

Machine Learning · Computer Science 2025-06-06 Ranjith Merugu , Bryan Bo Cao , Shubham Jain

Kurtosis is seen as a measure of the discrepancy between the observed data and a Gaussian distribution and is defined when the 4th moment is finite. In this work an empirical study is conducted to investigate the behaviour of the sample…

Statistical Finance · Quantitative Finance 2018-11-06 J. Martin van Zyl

Biological systems process information under noisy environment. Sensory adaptation model of E. coli is suitable for investigation because of its simplicity. To understand the adaptation processing quantitatively, stochastic thermodynamic…

Molecular Networks · Quantitative Biology 2019-07-16 Keita Ashida , Kotaro Oka

We investigate the transduction of tactile information during active exploration of finely textured surfaces using a novel tactile sensor mimicking the human fingertip. The sensor has been designed by integrating a linear array of 10…

Soft Condensed Matter · Physics 2010-07-30 Raphaël Candelier , Georges Debrégeas , Alexis Prevost

Knowledge distillation transfers knowledge from large teacher models to smaller students for efficient inference. While existing methods primarily focus on distillation strategies, they often overlook the importance of enhancing teacher…

Computer Vision and Pattern Recognition · Computer Science 2026-03-26 Xin Zhang , Jianyang Xu , Hao Peng , Dongjing Wang , Jingyuan Zheng , Yu Li , Yuyu Yin , Hongbo Wang

There is a lack of quantitative measures to evaluate the progression of topics through time in dynamic topic models (DTMs). Filling this gap, we propose a novel evaluation measure for DTMs that analyzes the changes in the quality of each…

Computation and Language · Computer Science 2023-09-19 Charu James , Mayank Nagda , Nooshin Haji Ghassemi , Marius Kloft , Sophie Fellenz

Illustrative textures, such as stippling or hatching, were predominantly used as an alternative to conventional Phong rendering. Recently, the potential of encoding information on surfaces or maps using different densities has also been…

Human-Computer Interaction · Computer Science 2025-12-11 Anna Sterzik , Monique Meuschke , Douglas W. Cunningham , Kai Lawonn

Our paper presents a non-destructive thermal transient measurement method that is able to reveal differences even in the micron size range of MEMS structures. Devices of the same design can have differences in their sacrificial layers as…

Other Computer Science · Computer Science 2007-11-29 P. Szabo , B. Nemeth , M. Rencz , B. Courtois

Appealing to several multivariate information measures---some familiar, some new here---we analyze the information embedded in discrete-valued stochastic time series. We dissect the uncertainty of a single observation to demonstrate how the…

Information Theory · Computer Science 2015-05-28 Ryan G. James , Christopher J. Ellison , James P. Crutchfield

The determination of the isothermal adsorption curves represents a mechanism that allows ob-taining information on the process of adsorption of water in organic and inorganic materials. In addition, it is a measure to be considered when…

Other Quantitative Biology · Quantitative Biology 2021-06-08 Iván David Buitrago-Torres , Javier Torres-Osorio , Elisabeth Restrepo-Parra

Human texture perception is a weighted average of multi-sensory inputs: visual and tactile. While the visual sensing mechanism extracts global features, the tactile mechanism complements it by extracting local features. The lack of coupled…

Computer Vision and Pattern Recognition · Computer Science 2022-09-20 Prasanna Kumar Routray , Aditya Sanjiv Kanade , Jay Bhanushali , Manivannan Muniyandi

The bottom-up saliency, an early stage of humans' visual attention, can be considered as a binary classification problem between center and surround classes. Discriminant power of features for the classification is measured as mutual…

Computer Vision and Pattern Recognition · Computer Science 2013-01-18 Anh Cat Le Ngo , Kenneth Ang Li-Minn , Guoping Qiu , Jasmine Seng Kah-Phooi

Recent text-to-image generation favors various forms of spatial conditions, e.g., masks, bounding boxes, and key points. However, the majority of the prior art requires form-specific annotations to fine-tune the original model, leading to…

Computer Vision and Pattern Recognition · Computer Science 2025-01-03 Z. Zhang , B. Liu , J. Bao , L. Chen , S. Zhu , J. Yu