Significant progress has been achieved in Computer Vision by leveraging large-scale image datasets. However, large-scale datasets for complex Computer Vision tasks beyond classification are still limited. This paper proposed a large-scale dataset named AIC (AI Challenger) with three sub-datasets, human keypoint detection (HKD), large-scale attribute dataset (LAD) and image Chinese captioning (I...

A new field goniometer system (FIGOS) is introduced that allows in situ measurements of hyperspectral bidirectional reflectance data under natural illumination conditions. Hyperspectral bidirectional reflectance distribution function (BRDF) data sets taken with FIGOS nominally cover the spectral range between 300 and 2450 nm in 704 bands. Typical targets are smallgrowing, dense, and homogeneous...

Methods Adult sheep (40kg) were subjected to ischemia reperfusion injury (LAD for 45 min). Six animals underwent invivo CMR 10 days after surgery and were euthanized on the next day for exvivo CMR and histopathological examination. Invivo CMR included: black blood T2 and 2D LGE (in-plane resolution 2mm). Animals were euthanized 10 min after injection of Gadolinium. Heart specimens were sliced a...

The Logical Analysis of Data (LAD) is a combinatorics, optimization and logic based methodology for the analysis of datasets with binary or numerical input variables, and binary outcomes. It has been established in previous studies that LAD provides a competitive classification tool comparable in efficiency with the top classification techniques available. The goal of this paper is to show that...

The article examines T. E. Hulme's reading of Georges Sorel as a politically transversal thinker moral renewal. It argues that, by distancing from syndicalism and him absolutes, this interpretation constituted an act resignification. This is shown contrasting with the dominant patterns British reception Sorel. What emerges striking, self-aware, originality positions. originality, we argue, was ...

We consider nonparametric estimation of conditional medians for time series data. The time series data are generated from two mutually independent linear processes. The linear processes may show long-range dependence. The estimator of the conditional medians is based on minimizing the locally weighted sum of absolute deviations for local linear regression. We present the asymptotic distribution...

The results of a simulation study of multiple regression prediction models for meteorological forecasting are reported. The effects of sample size, amount, and severity of nonrepresentative data in the population, inclusion of noninformative predictors, and least (sum of) absolute deviations (LAD) and least (sum of) squared deviations (LSD) regression models are examined on five populations con...

We consider estimates of the parameters of GARCH models obtained using auxiliary information on latent variance which may be available from higher-frequency data, for example from an estimate of the daily quadratic variation such as the realized variance. We obtain consistent estimates of the parameters of the infinite ARCH representation via a regression using the estimated quadratic variation...

Research Online is the open access institutional repository for the University of Wollongong. For further information contact the UOW (2013). On the weighting of the mean-absolute-deviation cost minimization model. Abstract The mean-absolute-deviation cost minimization model, which aims to minimize sum of the mean value and the absolute deviation (AD) of the total cost multiplied by a given non...

Solar-induced chlorophyll fluorescence (SIF), which can be used as a novel proxy for estimating gross primary production (GPP), can be effectively retrieved using ground-based, airborne and satellite measurements. Absorbed photosynthetically active radiation (APAR) is the key bridge linking SIF and GPP. Remotely sensed SIF at the canopy level (SIFcanopy) is only a part of the total SIF emission...