Four-quadrature spectral interferometry using balanced coherent detection enables single-shot full-field characterization of complex-shaped optical waveforms with near quantum-limited sensitivity. A 90 degrees optical hybrid places a waveform in four-quadrature-phases with a stronger, well-characterized reference pulse. Measurement of the four spectra with an integrating two-dimensional detecto...

Building on available theory, this work uses controlled laboratory experiments to investigate the budgetary and the economic performance of competitive tenders for allocating conservation contracts to landholders. Experiments have been replicated in two different countries to check for robustness of results. We find that auctions outperform the more traditional fixed-price programs only in the ...

The synaptic coupling between neurons in neocortical networks is sufficiently strong so that relatively few synchronous synaptic pulses are required to bring a neuron from rest to the spiking threshold. However, such finite-amplitude effects of fluctuating synaptic drive are missed in the standard diffusion approximation. Here exact solutions for the firing-rate response to modulated presynapti...

We consider shot-noise processes and max-shot-noise processes driven by spatial stationary Cox (doubly stochastic Poisson) processes. We derive the upper and lower bounds of them in terms of the increasing convex order, which is known as the order relation to compare the variability of random variables. Furthermore, under some regularity assumption of the random intensity fields of Cox processe...

Alper YILMAZ Mubarak Ali Shah University of Central Florida {yilmaz, shah}@cs.ucf.edu Abstract In this study, a new framework for parsing a video sequence into shots is presented. The new algorithm uses eigenspace decomposition of the RGB color space to describe the frames in a more descriptive coordinate system. The new basis eliminates the stumbling blocks of current shot detection approaches...

The location of video scenes is an important semantic descriptor especially for broadcast news video. In this paper, we propose a learning-based approach to annotate shots of news video with locations extracted from video transcript, based on features from multiple video modalities including syntactic structure of transcript sentences, speaker identity, temporal video structure, and so on. Mach...

Humans can quickly learn new visual concepts, perhaps because they can easily visualize or imagine what novel objects look like from different views. Incorporating this ability to hallucinate novel instances of new concepts might help machine vision systems perform better low-shot learning, i.e., learning concepts from few examples. We present a novel approach to low-shot learning that uses thi...