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Searching for small objects in large images is a task that is both challenging for current deep learning systems and important in numerous real-world applications, such as remote sensing and medical imaging. Thorough scanning of very large…

Computer Vision and Pattern Recognition · Computer Science 2021-04-16 Nathan Drenkow , Philippe Burlina , Neil Fendley , Onyekachi Odoemene , Jared Markowitz

Dataset summarisation is a fruitful approach to dataset inspection. However, when applied to a single dataset the discovery of visual concepts is restricted to those most prominent. We argue that a comparative approach can expand upon this…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Nanne van Noord

Query Visualization (QV) is the problem of transforming a given query into a graphical representation that helps humans understand its meaning. This task is notably different from designing a Visual Query Language (VQL) that helps a user…

Databases · Computer Science 2022-08-03 Wolfgang Gatterbauer , Cody Dunne , H. V. Jagadish , Mirek Riedewald

A number of visual quality measures have been introduced in visual analytics literature in order to automatically select the best views of high dimensional data from a large number of candidate data projections. These methods generally…

Human-Computer Interaction · Computer Science 2015-03-20 Ilknur Icke , Andrew Rosenberg

In this vision paper, we propose a shift in perspective for improving the effectiveness of similarity search. Rather than focusing solely on enhancing the data quality, particularly machine learning-generated embeddings, we advocate for a…

Databases · Computer Science 2023-08-03 Renzhi Wu , Jingfan Meng , Jie Jeff Xu , Huayi Wang , Kexin Rong

Many data sets, crucial for today's applications, consist essentially of enormous networks, containing millions or even billions of elements. Having the possibility of visualizing such networks is of paramount importance. We propose an…

Data Structures and Algorithms · Computer Science 2023-07-25 Giuseppe Di Battista , Fabrizio Grosso , Silvia Montorselli , Maurizio Patrignani

Dimensionality reduction is a common method for analyzing and visualizing high-dimensional data across domains. Dimensionality-reduction algorithms involve complex optimizations and the reduced dimensions computed by these algorithms…

Human-Computer Interaction · Computer Science 2017-08-16 Marco Cavallo , Çağatay Demiralp

Visual graphics, such as plots, charts, and figures, are widely used to communicate statistical conclusions. Extracting information directly from such visualizations is a key sub-problem for effective search through scientific corpora,…

Computer Vision and Pattern Recognition · Computer Science 2021-12-08 Dale Decatur , Sanjay Krishnan

We introduce Hoop Diagrams, a new visualization technique for set data. Hoop Diagrams are a circular visualization with hoops representing sets and sectors representing set intersections. We present an interactive tool for drawing Hoop…

Interactive visualization of astronomical catalogs requires novel techniques due to the huge volumes and complex structure of the data produced by existing and upcoming astronomical surveys. The creation as well as the disclosure of the…

Instrumentation and Methods for Astrophysics · Physics 2015-05-30 Hugo Buddelmeijer , Edwin A. Valentijn

We present an algorithm for searching image collections using free-hand sketches that describe the appearance and relative positions of multiple objects. Sketch based image retrieval (SBIR) methods predominantly match queries containing a…

Computer Vision and Pattern Recognition · Computer Science 2021-06-16 Alexander Black , Tu Bui , Long Mai , Hailin Jin , John Collomosse

Visualization and topic modeling are widely used approaches for text analysis. Traditional visualization methods find low-dimensional representations of documents in the visualization space (typically 2D or 3D) that can be displayed using a…

Computation and Language · Computer Science 2020-10-27 Dang Pham , Tuan M. V. Le

The scalability of a particular visualization approach is limited by the ability for people to discern differences between plots made with different datasets. Ideally, when the data changes, the visualization changes in perceptible ways.…

Human-Computer Interaction · Computer Science 2019-07-29 Rafael Veras , Christopher Collins

Points of interest on a map such as restaurants, hotels, or subway stations, give rise to categorical point data: data that have a fixed location and one or more categorical attributes. Consequently, recent years have seen various set…

Computational Geometry · Computer Science 2024-07-22 Steven van den Broek , Wouter Meulemans , Bettina Speckmann

Visual analysis of temporal networks comprises an effective way to understand the network dynamics, facilitating the identification of patterns, anomalies, and other network properties, thus resulting in fast decision making. The amount of…

Social and Information Networks · Computer Science 2021-04-26 Jean R. Ponciano , Claudio D. G. Linhares , Elaine R. Faria , Bruno A. N. Travencolo

The analysis of structured complex data, such as clustered graph based datasets, usually applies a variety of visual representation techniques and formats. The majority of currently available tools and approaches to exploratory…

Human-Computer Interaction · Computer Science 2023-09-15 Vladimir Guchev , Paolo Buono , Cristina Gena

In this paper we explore visually the structure of the collection of a digital research data archive in terms of metadata for deposited datasets. We look into the distribution of datasets over different scientific fields; the role of main…

Digital Libraries · Computer Science 2012-04-17 Andrea Scharnhorst , Olav ten Bosch , Peter Doorn

This paper proposes the usage of \emph{visualisation widgets} for exploratory search with \emph{sentiment} as a facet. Starting from specific design goals for depiction of ambivalence in sentiment, two visualization widgets were…

Human-Computer Interaction · Computer Science 2016-01-12 Eduardo Graells-Garrido , Mounia Lalmas , Ricardo Baeza-Yates

Information on any given topic is often scattered across the web. Previously this scatter has been characterized through the distribution of a set of facts (i.e. pieces of information) across web pages, showing that typically a few pages…

Information Retrieval · Computer Science 2007-06-13 Lada A. Adamic , Suresh K. Bhavnani , Xiaolin Shi

Selecting the appropriate visual presentation of the data such that it preserves the semantics of the underlying data and at the same time provides an intuitive summary of the data is an important, often the final step of data analytics.…

Artificial Intelligence · Computer Science 2017-11-15 Rema Ananthanarayanan , Pranay Kr. Lohia , Srikanta Bedathur