106,354 research outputs found
The dynamical origin of the universality classes of spatiotemporal intermittency
Studies of the phase diagram of the coupled sine circle map lattice have
identified the presence of two distinct universality classes of spatiotemporal
intermittency viz. spatiotemporal intermittency of the directed percolation
class with a complete set of directed percolation exponents, and spatial
intermittency which does not belong to this class. We show that these two types
of behavior are special cases of a spreading regime where each site can infect
its neighbors permitting an initial disturbance to spread, and a non-spreading
regime where no infection is possible, with the two regimes being separated by
a line, the infection line. The coupled map lattice can be mapped on to an
equivalent cellular automaton which shows a transition from a probabilistic
cellular automaton to a deterministic cellular automaton at the infection line.
The origins of the spreading-non-spreading transition in the coupled map
lattice, as well as the probabilistic to deterministic transition in the
cellular automaton lie in a dynamical phenomenon, an attractor-widening crisis
at the infection line. Indications of unstable dimension variability are seen
in the neighborhood of the infection line. This may provide useful pointers to
the spreading behavior seen in other extended systems.Comment: 20 pages, 9 figure
An international application of the city-wide mobile noise mapping methodology : retro-active traffic attribution on a bicycle commuters health study in New York City
Recycle-GAN: Unsupervised Video Retargeting
We introduce a data-driven approach for unsupervised video retargeting that
translates content from one domain to another while preserving the style native
to a domain, i.e., if contents of John Oliver's speech were to be transferred
to Stephen Colbert, then the generated content/speech should be in Stephen
Colbert's style. Our approach combines both spatial and temporal information
along with adversarial losses for content translation and style preservation.
In this work, we first study the advantages of using spatiotemporal constraints
over spatial constraints for effective retargeting. We then demonstrate the
proposed approach for the problems where information in both space and time
matters such as face-to-face translation, flower-to-flower, wind and cloud
synthesis, sunrise and sunset.Comment: ECCV 2018; Please refer to project webpage for videos -
http://www.cs.cmu.edu/~aayushb/Recycle-GA
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