Search results for "temporal"

Sequential Lip Region Segmentation Using Fuzzy Clustering with Spatial and Temporal Information

2012

For many visual speech recognition and visual speaker authentication systems, lip region extraction is of vital important. In order to segment the lip region accurately and robustly from a lip sequence, a new fuzzy-clustering based algorithm is proposed. In the proposed method, a new dissimilarity measure is introduced to take all the color, spatial and temporal information into consideration. An iterative optimization method is employed to derive the optimal lip region membership map and the final segmentation result. From the experimental results, it is observed that the proposed algorithm can provide superior results compared with other traditional methods.

Autocorrelation Metrics to Estimate Soil Moisture Persistence From Satellite Time Series: Application to Semiarid Regions

2021

Satellite-derived soil moisture (SM) products have become an important information source for the study of land surface processes in hydrology and land monitoring. Characterizing and estimating soil memory and persistence from satellite observations is of paramount relevance, and has deep implications in ecology, water management, and climate modeling. In this work, we address the problem of SM persistence estimation from microwave sensors using several autocorrelation metrics that, unlike traditional approaches, build on accurate estimates of the autocorrelation function from nonuniformly sampled time series. We show how the choice of the autocorrelation estimator can have a dramatic impac…

Decomposing and Interpreting Spatial Effects in Spatio-Temporal Analysis: Evidences for Spatial Data Pooled Over Time

2017

Empirical applications using individual spatial data pooled over time usually neglect the fact that such data are not only spatially localized: they are also collected over time, i.e. temporally localized. So far, little effort has been devoted to proposing a global way for dealing with spatial data (cross-section) pooled over time, such as real estate transactions, business start-up, crime and so on. However, the spatial effect, in such a context, can be decomposed in two different components: a multidirectional spatial effect (same time period) and a unidirectional spatial effect (previous time period). Based on real estate literature, this chapter presents different spatio-temporal autor…

RDF2NμSMV: Mapping Semantic Graphs to NμSMV Model Checker

2011

International audience; The most frequently used language to represent the semantic graphs is the RDF (W3C standard for meta-modeling). The construction of semantic graphs is a source of numerous errors of interpretation. The processing of large semantic graphs is a limit to the use of semantics in current information systems. The work presented in this paper is part of a new research at the border between two areas: the Semantic Web and the model checking. For this, we developed a tool, RDF2NμSMV, which converts RDF graphs into NμSMV language. This conversion aims checking the semantic graphs with the model checker NμSMV in order to verify the consistency of the data. To illustrate our pro…

Mode modernitātē: estētiskie un temporālie aspekti

2015

Darbā aplūkots apģērba modes fenomens un tā attīstība modernajā laikmetā. Modes un modernitātes ciešā saikne ļauj modi skatīt kā modernitātes pilnīgāko ekspresiju. Ņemot vērā modes uzmanību pret izskatu un skaistumu un galvenokārt pamatojoties uz tādu autoru kā Bodlēra, Barta, Zimmela un Malarmē koncepcijām, tiek pētītas modes skaistuma atklāšanas iespējas un estētiskas vērtības nozīmju radīšana. Respektējot apģērba modes piesaistītību ķermenim, darbā uzmanība tiek veltīta arī drēbēm un ķermeņa jautājumiem. Modes mainīgais raksturs un tās interese par laika modiem piedāvā modes temporālo aspektu pētīšanu. Modes temporalitātes aspektā būtiskākās ir Benjamina idejas par modi un laiku.

Poor School Academic Performance and Benign Epilepsy with Centro-Temporal Spikes

2023

Background: Poor academic performance of students with epilepsy seems to be a multifactorial problem related to difficulties in reading, writing, math, and logic skills. Poor school and academic performances refer to learning problems in a specific academic area due to learning disorders and learning difficulties not excluding the ability to learn in a different manner during school and academic life. Sometimes, school, academic difficulties, and Rolandic epilepsy can coexist together, and there may be comorbidities. Consequently, the risk of impaired academic performance in people with epilepsy is high. Methods: This review analyzed the relationship between Benign Epilepsy with Centro-Temp…

Editorial: Timing the Brain: From Basic Sciences to Clinical Implications

2022

Deep learning and process understanding for data-driven Earth system science

2017

Machine learning approaches are increasingly used to extract patterns and insights from the ever-increasing stream of geospatial data, but current approaches may not be optimal when system behaviour is dominated by spatial or temporal context. Here, rather than amending classical machine learning, we argue that these contextual cues should be used as part of deep learning (an approach that is able to extract spatio-temporal features automatically) to gain further process understanding of Earth system science problems, improving the predictive ability of seasonal forecasting and modelling of long-range spatial connections across multiple timescales, for example. The next step will be a hybri…

HR3DHG version 1: modeling the spatiotemporal dynamics of mercury in the Augusta Bay (southern Italy)

2020

The biogeochemical dynamics of Hg, and specifically of its three species Hg0, HgII, and MeHg (elemental, inorganic, and organic, respectively), in the marine coastal area of Augusta Bay (southern Italy) have been explored by the high-resolution 3D Hg (HR3DHG) model, namely an advection–diffusion–reaction model for dissolved mercury in the seawater compartment coupled with a diffusion–reaction model for dissolved mercury in the pore water of sediments in which the desorption process for the sediment total mercury is taken into account. The spatiotemporal variability of the mercury concentration in both seawater ([HgD]) and the first layers of bottom sediments ([HgDsed] and [HgTsed]), as well…

Are IL-10+ regulatory Th17 cells implicated in the sustained response to glucocorticoid treatment in patients with giant cell arteritis? Comment on t…

2013

We have read with interest the recently published paper of Espigol-Frigole et al 1 in which the authors confirmed that interleukin (IL)-17 is highly expressed in giant cell arteritis (GCA) lesions.1–3 They also demonstrated for the first time that IL-17 expression in temporal artery biopsies (TABs) was correlated with a better outcome. Among other interesting results, the identification of Foxp3+IL-17+ T cells by confocal microscopy in TAB made the authors to hypothesize that these cells could be induced regulatory T cells (Treg) that may facilitate the remission of the disease under steroid therapy. …