We propose a novel approach to annotating weakly labelled data. In contrast to many existing approaches that perform annotation by seeking clusters of self-similar exemplars (minimising intra-class variance), we perform image annotation by selecting exemplars that have never occurred before in the much larger, and strongly annotated, negative training set (maximising inter-class variance). Comp...

Many agricultural experiments have say 7-12 treatments in 3-5 replicates, and are laid out in a rectangle. Is it better to do a standard randomized complete block design in rows, or a complete block design in rows but with restricted randomization, or an efficient row-column design? These approaches differ in the variance of the estimate of a difference between two treatments, and in the bias o...

Analytical, intra-individual, and inter-individual components of variation were estimated from duplicate analyses of 11 plasma analytes in an average of 13 specimens obtained, over a two-day period, from nine patients with impaired renal function. Analytical variance was 17.3% of the total variance for sodium; less than 5% of the total variance for potassium, chloride, bicarbonate, albumin, and...

The genetic diversity of Cistus ladanifer ssp. ladanifer (Cistaceae) growing on ultramafic and non-ultramafic (basic and schists) soils in the NE of Portugal was studied in order to identify molecular markers that could distinguish the metal-tolerant ecotypes of this species. Random Amplified Polymorphic DNA (RAPD) markers were used in order to estimate genetic variation and differences between...

Inter-individual differences in performance impairment from sleep loss are substantial and consistent, as demonstrated and quantified here by means of the intraclass correlation coefficient (ICC) in two laboratory-based sleep deprivation studies. There is an urgent need, therefore, to consider inter-individual variability in biomathematical models of fatigue and performance, which currently tre...

This paper exploits both the interand intra-scale interdependencies that exist in wavelet coe3cients to improve image restoration from noise-corrupted data. Using an over-complete wavelet expansion, we group the wavelet coe3cients with the same spatial orientation at several scales. We then apply the linear minimum mean squared-error estimation to smooth noise. This scheme exploits the inter-sc...

Abstract Unsupervised person re-identification (re-ID) aims to match pictures of target pedestrians from some other cameras without any labels. The existing methods usually adopt a cluster-based pipeline generate false labels for training. However, because the differences in camera configuration, taking Angle, illumination intensity and pedestrian background, unlabeled training samples captured...