23 papers · ranked by Valyu relevance
Alan Lukežič, Tomáš Vojíř, Luka Čehovin Zajc, Jiřı́ Matas + 1 more
'Matej Kristan'] Short-term tracking is an open and challenging problem for which discriminative correlation filters (DCF) have shown excellent performance. We introduce the channel and spatial reliability concepts to DCF tracking and provide a learning algorithm for its efficient and seamless integration in the filter…
Isabella Kahhale, Nicholas J. Buser, Christopher R. Madan, Jamie L. Hanson
On-going, large-scale neuroimaging initiatives can aid in uncovering neurobiological causes and correlates of poor mental health, disease pathology, and many other important conditions. As projects grow in scale with hundreds, even thousands, of individual participants and scans collected, quantification of brain…
Rolando Masís-Obando, Kenneth A. Norman, Christopher Baldassano
What are the neural properties that make spatial contexts effective scaffolds for storing and accessing memories? We hypothesized that spatial locations with stable and distinctive (i.e., reliable) neural representations would best support memory for new experiences. To test this, participants learned the layout of a…
Isabella Kahhale, Nicholas J Buser, Christopher R. Madan, Jamie L. Hanson
On-going, large-scale neuroimaging initiatives can aid in uncovering neurobiological causes and correlates of poor mental health, disease pathology, and many other important conditions. As projects grow in scale with hundreds, even thousands, of individual participants and scans collected, quantification of brain…
Ferdinando Di Martino, Salvatore Sessa, Pavel Sevastjanov
Cluster techniques are used in hotspot spatial analysis to detect hotspots as areas on the map; an extension of the Fuzzy C-means that the clustering algorithm has been applied to locate hotspots on the map as circular areas; it represents a good trade-off between the accuracy in the detection of the hotspot shape and…
Sara Finocchietti, Giulia Cappagli, Giuseppina Giammari, Elena Cocchi + 2 more
'Elena Cocchi' 'Monica Gori' 'Fang Jiang'] Blind individuals are particularly dependent on their hearing for defining space. It has been found that both children and adults with visual impairments can struggle with complex spatial tasks that require a metric representation of space. Nonetheless the variability of…
Jin Chen, Robert E Roth, Adam T Naito, Eugene J Lengerich + 1 more
'Alan M MacEachren'] Background Kulldorff's spatial scan statistic and its software implementation - SaTScan - are widely used for detecting and evaluating geographic clusters. However, two issues make using the method and interpreting its results non-trivial: (1) the method lacks cartographic support for understanding…
Peng Cheng, Xiang Lian, Zhao Chen, Rui Fu + 3 more
'Jizhong Zhao'] With the rapid development of mobile devices and the crowdsourcing platforms, the spatial crowdsourcing has attracted much attention from the database community, specifically, spatial crowdsourcing refers to sending a location-based request to workers according to their positions. In this paper, we…
Jonas Björk, Ralf Rittner, Ellen Cromley
Background Available evidence suggest that perceptions or ratings of the neighborhood, e.g. as being green, walkable or noisy, are important for effects on health and wellbeing, also after controlling for objective measures of identical or similar features. When evaluating effects of the perceived environment, it is…
Ruyi Pan, Erin W. Dickie, Colin Hawco, Nancy Reid + 2 more
Clusterwise inference is a popular approach in neuroimaging to increase sensitivity, but most existing methods are currently restricted to the General Linear Model (GLM) for testing mean parameters. Statistical methods for variance components testing, which are critical in neuroimaging studies that involve estimation…
Yaqi Li, Shuohan Zhang, Xiaohu You, Jiamin Li
With the increasing demand for ultra-reliable and low-latency communication (URLLC), spatiotemporal two-dimensional (2-D) channel coding has received growing interest. By leveraging the spatial degrees of freedom in massive multiple-input multiple-output (MIMO) systems, it shortens the time-domain blocklength, thereby…
Julie Strominger, Rebecca Anthopolos, Marie Lynn Miranda
Background Research surrounding the built environment (BE) and health has resulted in inconsistent findings. Experts have identified the need to examine methodological choices, such as development and testing of BE indices at varying spatial scales. We sought to examine the impact of construction method and spatial…
Fangfang Hong, Stephanie Badde, Michael S. Landy
To obtain a coherent perception of the world, our senses need to be in alignment. When we encounter misaligned cues from two sensory modalities, the brain must infer which cue is faulty and recalibrate the corresponding sense. We examined whether and how the brain uses cue reliability to identify the miscalibrated…
Xiayin Lou, Peng Luo, Lingsheng Meng
uncertainty of spatial prediction Authors: ['Xiayin Lou' 'Peng Luo' 'Lingsheng Meng'] Spatial prediction is a fundamental task in geography, providing essential data support for various scenarios, from environmental processes to urban development. Recent advancements, empowered by the development of geospatial…
Adnane Nemri, Ovidiu Radulescu, Antoine Claessens, Thomas D. Otto
Despite the advent of spatial data science, including spatial biology, there exist few methods that study the distribution of points e.g. cells or individuals, accounting for both their own characteristics and environmental factors. We propose a new spatial entropy measure, termed the Regional Co-occurrence Entropy…
Mei Tessum, Susan Anenberg, Zoe Chafe, Daven Henze + 4 more
To improve air quality, knowledge of the sources and locations of air pollutant emissions is critical. However, for many global cities, no previous estimates exist of how much exposure to fine particulate matter (PM2.5), the largest environmental cause of mortality, is caused by emissions within the city vs. outside…
Authors not listed
Computational explorations of reaction mechanism which support and guide experimental efforts has become a key tool in the organic and inorganic chemistry community. This Perspective addresses key challenges and best practices for generating reliable, reproducible, and reusable data for quantum chemical calculations of…
Zhe Jiang
—With the advancement of GPS and remote sensing technologies, large amounts of geospatial and spatiotemporal data are being collected from various domains, driving the need for effective and efficient prediction methods. Given spatial data samples with explanatory features and targeted responses (categorical or…
Yalin Li, John Trimmer, Steven Hand, Xinyi Zhang + 6 more
The pursuit of sustainability has catalyzed broad investment in the research, development, and deployment (RD&D) of innovative water, sanitation, and resource recovery technologies, yet the lack of transparent and agile methodologies to navigate the expansive landscape of technology development pathways remains a…
Γεώργιος Σκούμας, Dieter Pfoser, Anastasios Kyrillidis
Living in the era of data deluge, we have witnessed a web content explosion, largely due to the massive availability of User-Generated Content (UGC). In this work, we specifically consider the problem of geospatial information extraction and representation, where one can exploit diverse sources of information (such as…
Authors not listed
Scanning emission-based microscopies, such as X-ray fluorescence (XRF) and energy-dispersive X-ray spectroscopy, offer nanometer-scale chemical maps, but suffer from long acquisition times and radiation damage. Lower-flux and shorter dwell time scans mitigate this problem, but the resulting signal loss can only…
Sarah Chambliss, Carlos Pinon, Kyle Messier, Brian LaFranchi + 5 more
Disparity in air pollution exposure arises from variation at multiple spatial scales: along urbanto-rural gradients, between individual cities within a metropolitan region, within individual neighborhoods, and between city blocks. Here, we improve on existing capabilities to systematically compare urban variation at…
Daniel Goldberg, Benjamin de Foy, M. Omar Nawaz, Jeremiah Johnson + 2 more
Air quality managers in areas exceeding air pollution standards are motivated to understand where there are further opportunities to reduce NOx emissions to improve ozone and PM2.5 air quality. In this project, we use a combination of aircraft remote sensing (i.e., GCAS), source apportionment models (i.e., CAMx), and…