Search results for "computer sciences"
showing 9 items of 9 documents
Area-Based Depth Estimation for Monochromatic Feature-Sparse Orthographic Capture
2018
With the rapid development of light field technology, depth estimation has been highlighted as one of the critical problems in the field, and a number of approaches have been proposed to extract the depth of the scene. However, depth estimation by stereo matching becomes difficult and unreliable when the captured images lack both color and feature information. In this paper, we propose a scheme that extracts robust depth from monochromatic, feature-sparse scenes recorded in orthographic sub-aperture images. Unlike approaches which rely on the rich color and texture information across the sub-aperture views, our approach is based on depth from focus techniques. First, we superimpose shifted …
CArDIS : A Swedish Historical Handwritten Character and Word Dataset
2022
This paper introduces a new publicly available image-based Swedish historical handwritten character and word dataset named Character Arkiv Digital Sweden (CArDIS) (https://cardisdataset.github.io/CARDIS/). The samples in CArDIS are collected from 64, 084 Swedish historical documents written by several anonymous priests between 1800 and 1900. The dataset contains 116, 000 Swedish alphabet images in RGB color space with 29 classes, whereas the word dataset contains 30, 000 image samples of ten popular Swedish names as well as 1, 000 region names in Sweden. To examine the performance of different machine learning classifiers on CArDIS dataset, three different experiments are conducted. In the …
ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19
2022
The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing como…
The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies
2021
New language technologies are coming, thanks to the huge and competing private investment fuelling rapid progress; we can either understand and foresee their effects, or be taken by surprise and spend our time trying to catch up. This report scketches out some transformative new technologies that are likely to fundamentally change our use of language. Some of these may feel unrealistically futuristic or far-fetched, but a central purpose of this report - and the wider LITHME network - is to illustrate that these are mostly just the logical development and maturation of technologies currently in prototype. But will everyone benefit from all these shiny new gadgets? Throughout this report we …
The authenticity of ‘authentic’ assessment some faculty perceptions
2017
The attempt to embed Authenticity within the learning process in higher education has been a driving principle within many pedagogical approaches to Higher Education developed over the past three decades. The desire to allow students to learn in a manner that closely resembles the way in which expertise is developed outside the academic environment is a central element of problem-based, inquiry-based and projectbased learning. Exploring the implications of authenticity for student achievement and the ways in which this should be assessed has led to innovative teaching methods and ways of evaluating student performance. Unfortunately, authenticity, and authentic assessment in particular, are…
The transformation-driven architecture and its graphical presentation engines
2013
Promocijas darbā piedāvāta transformāciju vadītā arhitektūra (TDA) --- modeļbāzēta programmatūras arhitektūra interaktīvām sistēmām, kuras sastāv no vairākām komponentēm, kas sadarbojas. TDA attīsta tālāk OMG modeļu vadītās arhitektūras (MDA) idejas. Atšķirībā no MDA, kas izmanto modeļus un to transformācijas tikai programmatūras izstrādes laikā, TDA tos izmanto arī programmu izpildes laikā. Darbā aprakstīti arī svarīgākie TDA moduļi: TDA kodols (realizē komunikācijas mehānismu, darbību atcelšanas mehānismu un vairākrepozitoriju mehānismu), Vides dzinis (aizvietojams modulis TDA izmantošanai dažādās vidēs), Dialogu logu dzinis (modulis dialogu logu aprakstīšanai un parādīšanai uz ekrāna) un…
Quantum query algorithms
2013
Kvantu skaitļošana ir datorzinātnes apakšnozare, kas balstās uz kvantu mehānikas likumiem. Kvantu vaicājošais algoritms ir galvenais pētāmais objekts. Galvenais darba mērķis ir padarīt kvantu algoritma konstruēšanu pēc iespējas vienkāršāku. Pētījumā ir aprakstīti kvantu vaicājošie algoritmi, kas rēķina Būla funkcijas uzdodot nelielu skaitu vaicājumu, un tiek piedāvāti kvantu vaicājošie algoritmi daudzvērtīgu funkciju aprēķināšanai. Darbā ir aprakstīti vairāki efektīvi kvantu algoritmi konkrētu uzdevumu veikšanai. Paši nozīmīgākie ir kvantu vaicājošie algoritmi ar ierobežotu kļūdu, piemēram, piedāvāts algoritms divu bitu AND Būla funkcijai, kas izmanto vienu vienīgu vaicājumu un izsniedz par…
On solving separable block tridiagonal linear systems using a GPU implementation of radix-4 PSCR method
2018
Partial solution variant of the cyclic reduction (PSCR) method is a direct solver that can be applied to certain types of separable block tridiagonal linear systems. Such linear systems arise, e.g., from the Poisson and the Helmholtz equations discretized with bilinear finite-elements. Furthermore, the separability of the linear system entails that the discretization domain has to be rectangular and the discretization mesh orthogonal. A generalized graphics processing unit (GPU) implementation of the PSCR method is presented. The numerical results indicate up to 24-fold speedups when compared to an equivalent CPU implementation that utilizes a single CPU core. Attained floating point perfor…
Classifier Optimized for Resource-constrained Pervasive Systems and Energy-efficiency
2017
Computational intelligence is often used in smart environment applications in order to determine a user’scontext. Many computational intelligence algorithms are complex and resource-consuming which can beproblematic for implementation devices such as FPGA:s, ASIC:s and low-level microcontrollers. Thesetypes of devices are, however, highly useful in pervasive and mobile computing due to their small size,energy-efficiency and ability to provide fast real-time responses. In this paper, we propose a classi-fier, CORPSE, specifically targeted for implementation in FPGA:s, ASIC:s or low-level microcontrollers.CORPSE has a small memory footprint, is computationally inexpensive, and is suitable for…