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The authors identify 2 major types of statistical data from which semantic representations can be learned. These are denoted as experiential data and distributional data. Experiential data are derived by way of experience with the physical world and comprise the sensory-motor data obtained through sense receptors. Distributional data, by contrast, describe(More)
Linear unmixing is a blind source separation problem that decomposes a hyperspectral image into the spectra of the material constituents of the scene and the abundance maps of those materials across that scene. A novel method for determining the material spectra from within the scene, AGES, is proposed based on the positional information contained within(More)
The strongest susceptibility genes for the development of systemic lupus erythematosus (SLE) in humans are null mutants of classical pathway complement proteins. There is a hierarchy of disease susceptibility and severity according to the position of the missing protein in the activation pathway, with the severest disease associated with C1q deficiency.(More)
Similarities in the behavior of diverse animal species that form large groups have motivated attempts to establish general principles governing animal group behavior. It has been difficult, however, to make quantitative measurements of the temporal and spatial behavior of extensive animal groups in the wild, such as bird flocks, fish shoals, and locust(More)
In this paper, we describe a model that learns semantic representations from the distributional statistics of language. This model, however, goes beyond the common bag-of-words paradigm, and infers semantic representations by taking into account the inherent sequential nature of linguistic data. The model we describe, which we refer to as a Hidden Markov(More)
A second wave of potential SSRIs with high ease of synthetic accessibility were designed based on the reported selective serotonin re-uptake inhibitor litoxetine and our own previous work in this area. Preparation and subsequent optimisation yielded a range of potent and highly selective SSRIs.
INTRODUCTION Fish populations often comprise the largest biomass component in a productive marine ecosystem. They typically play an essential role in inter-trophic energy transport (Cury et al. 2001), and serve as a mainstay for human consumption comprising roughly 16% of the animal protein consumed by the world's population (FAO 1997). Despite their(More)
Over the past 15 years, there have been two increasingly popular approaches to the study of meaning in cognitive science. One, based on theories of embodied cognition, treats meaning as a simulation of perceptual and motor states. An alternative approach treats meaning as a consequence of the statistical distribution of words across spoken and written(More)
The N-FINDR algorithm for unmixing hyperspectral data is both popular and successful. However, opportunities for improving the algorithm exist, particularly to reduce its computational expense. Two approaches to achieve this are examined. First, the redundancy inherent in the determinant calculations at the heart of N-FINDR is reduced using an LDU(More)