Building discriminative representations for 3D data has been an important task in computer graphics and computer vision research. Convolutional Neural Networks (CNNs) have shown to operate on 2D images with great success for a variety of tasks. Lifting convolution operators to 3D (3DCNNs) seems like a plausible and promising next step. Unfortunately, the computational complexity of 3D CNNs grow...

ABSTRACT The study assessed the use of rural radio as agricultural information dissemination tool among farmers in Dekina Local Government Area of Kogi State. The specific objectives were to: describe the socio-economic characteristics of the respondents, identify rural and agricultural programmes normally aired on radio, find out the level of patronage of the programmes, identify the convenien...

We describe a Vervaat-like path transformation for the reeected Brownian bridge conditioned on its local time at 0: up to random shifts, this process equals the two processes constructed from a Brownian bridge and a Brownian excursion by adding a drift and then taking the excursions over the current minimum. As a consequence, these three processes have the same occupation measure, which is easi...

We explore the prospects for using future supernova observations to probe the dark energy. We focus on quintessence, an evolving scalar field that has been suggested as a candidate for the dark energy. After simulating the observations that would be expected from the proposed SuperNova / Acceleration Probe satellite (SNAP), we investigate two methods for extracting information about quintessenc...