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165 papers · 1 filter
The Carnegie-Chicago Hubble Program: Calibration of the Near-Infrared RR Lyrae Period-Luminosity Relation With HST
Jeffrey A. Rich, Barry F. Madore, Andrew J. Monson +12
We present photometry of 30 Galactic RR Lyrae variables taken with HST WFC3/IR for the Carnegie-Chicago Hubble Program. These measurements form the base of the distance ladder meas…
Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation
Alessandro Di Martino, Erik Bodin, Carl Henrik Ek +1
The shape of an object is an important characteristic for many vision problems such as segmentation, detection and tracking. Being independent of appearance, it is possible to gene…
Long-range depth imaging using a single-photon detector array and non-local data fusion
Susan Chan, Abderrahim Halimi, Feng Zhu +6
The ability to measure and record high-resolution depth images at long stand-off distances is important for a wide range of applications, including connected and automotive vehicle…
Spinor solitons and their -symmetric offspring
N. V. Alexeeva, I. V. Barashenkov, A. Saxena
Although the spinor field in (1+1) dimensions has the right structure to model a dispersive bimodal system with gain and loss, the plain addition of gain to one component of the fi…
Parallelising Particle Filters with Butterfly Interactions
Kari Heine, Nick Whiteley, A. Taylan Cemgil
Bootstrap particle filter (BPF) is the corner stone of many popular algorithms used for solving inference problems involving time series that are observed through noisy measurement…
Bridging trees for posterior inference on Ancestral Recombination Graphs
Kari Heine, Alex Beskos, Ajay Jasra +2
We present a new Markov chain Monte Carlo algorithm, implemented in software Arbores, for inferring the history of a sample of DNA sequences. Our principal innovation is a bridging…