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Ordinal classification problems, where labels exhibit a natural order, are prevalent in high-stakes fields such as medicine and finance. Accurate uncertainty quantification, including the decomposition into aleatoric (inherent variability)…

Machine Learning · Computer Science 2025-07-02 Stefan Haas , Eyke Hüllermeier

Semantic segmentation consists of assigning a semantic label to each pixel according to predefined classes. This process facilitates the understanding of object appearance and spatial relationships, playing an important role in the global…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Mariana Dória Prata Lima , Gilson Antonio Giraldi , Jaime S. Cardoso

This paper establishes the existence of observable footprints that reveal the "causal dispositions" of the object categories appearing in collections of images. We achieve this goal in two steps. First, we take a learning approach to…

Machine Learning · Statistics 2017-11-01 David Lopez-Paz , Robert Nishihara , Soumith Chintala , Bernhard Schölkopf , Léon Bottou

Scientists, engineers, biologists, and technology specialists universally leverage image segmentation to extract shape ensembles containing many thousands of curves representing patterns in observations and measurements. These large curve…

Computer Vision and Pattern Recognition · Computer Science 2026-01-09 Zachary Grey , Nicholas Fisher , Andrew Glaws

Multifractal analysis techniques are applied to patterns in several abstract expressionist artworks, paintined by various artists. The analysis is carried out on two distinct types of structures: the physical patterns formed by a specific…

Popular Physics · Physics 2015-06-26 J. R. Mureika , C. C. Dyer , G. C. Cupchik

Understanding the stroke-based evolution of visual artworks is useful for advancing artwork learning, appreciation, and interactive display. While the stroke sequence of renowned artworks remains largely unknown, formulating this sequence…

Computer Vision and Pattern Recognition · Computer Science 2025-02-28 Jeripothula Prudviraj , Vikram Jamwal

Manually re-drawing an image in a certain artistic style takes a professional artist a long time. Doing this for a video sequence single-handedly is beyond imagination. We present two computational approaches that transfer the style from…

Computer Vision and Pattern Recognition · Computer Science 2018-08-07 Manuel Ruder , Alexey Dosovitskiy , Thomas Brox

Creativity and the understanding of cognitive processes involved in the creative process are relevant to all of human activities. Comprehension of creativity in the arts is of special interest due to the involvement of many scientific and…

Computer Vision and Pattern Recognition · Computer Science 2015-06-16 Milan Rajković , Miloš Milovanović

Distortion is widely existed in the images captured by popular wide-angle cameras and fisheye cameras. Despite the long history of distortion rectification, accurately estimating the distortion parameters from a single distorted image is…

Computer Vision and Pattern Recognition · Computer Science 2024-04-30 Kang Liao , Chunyu Lin , Yao Zhao

The style of an image plays a significant role in how it is viewed, but style has received little attention in computer vision research. We describe an approach to predicting style of images, and perform a thorough evaluation of different…

Computer Vision and Pattern Recognition · Computer Science 2021-05-28 Sergey Karayev , Matthew Trentacoste , Helen Han , Aseem Agarwala , Trevor Darrell , Aaron Hertzmann , Holger Winnemoeller

We address the discovery of composition transfer in artworks based on their visual content. Automated analysis of large art collections, which are growing as a result of art digitization among museums and galleries, is an important tool for…

Computer Vision and Pattern Recognition · Computer Science 2019-07-09 Tomas Jenicek , Ondřej Chum

Inpainting-based compression represents images in terms of a sparse subset of its pixel data. Storing the carefully optimised positions of known data creates a lossless compression problem on sparse and often scattered binary images. This…

Image and Video Processing · Electrical Eng. & Systems 2021-08-03 Rahul Mohideen Kaja Mohideen , Pascal Peter , Joachim Weickert

We clarify the mathematical structure underlying unitary $t$-designs. These are sets of unitary matrices, evenly distributed in the sense that the average of any $t$-th order polynomial over the design equals the average over the entire…

Quantum Physics · Physics 2009-11-13 D. Gross , K. Audenaert , J. Eisert

The importance of repetitions in music is well-known. In this paper, we study music repetitions in the context of effective and efficient automatic genre classification in large-scale music-databases. We aim at enhancing the access and…

Information Retrieval · Computer Science 2019-10-22 Andres Ferraro , Kjell Lemström

Attribution of paintings is a critical problem in art history. This study extends machine learning analysis to surface topography of painted works. A controlled study of positive attribution was designed with paintings produced by a class…

Computer Vision and Pattern Recognition · Computer Science 2021-06-15 F. Ji , M. S. McMaster , S. Schwab , G. Singh , L. N. Smith , S. Adhikari , M. O'Dwyer , F. Sayed , A. Ingrisano , D. Yoder , E. S. Bolman , I. T. Martin , M. Hinczewski , K. D. Singer

Style analysis of artwork in computer vision predominantly focuses on achieving results in target image generation through optimizing understanding of low level style characteristics such as brush strokes. However, fundamentally different…

Computer Vision and Pattern Recognition · Computer Science 2020-12-09 Sadat Shaik , Bernadette Bucher , Nephele Agrafiotis , Stephen Phillips , Kostas Daniilidis , William Schmenner

In this paper we study a class of fast geometric image inpainting methods based on the idea of filling the inpainting domain in successive shells from its boundary inwards. Image pixels are filled by assigning them a color equal to a…

Numerical Analysis · Mathematics 2017-08-01 L. Robert Hocking , Thomas Holding , Carola-Bibiane Schoenlieb

Planar ornaments, a.k.a. wallpapers, are regular repetitive patterns which exhibit translational symmetry in two independent directions. There are exactly $17$ distinct planar symmetry groups. We present a fully automatic method for…

Computer Vision and Pattern Recognition · Computer Science 2018-10-30 Venera Adanova , Sibel Tari

Do we really understand how machine classifies art styles? Historically, art is perceived and interpreted by human eyes and there are always controversial discussions over how people identify and understand art. Historians and general…

Machine Learning · Computer Science 2022-12-08 Chenxi Ji

Shape is commonly used to distinguish between categories in multi-class scatterplots. However, existing guidelines for choosing effective shape palettes rely largely on intuition and do not consider how these needs may change as the number…

Human-Computer Interaction · Computer Science 2024-10-18 Chin Tseng , Arran Zeyu Wang , Ghulam Jilani Quadri , Danielle Albers Szafir