Methods of determining the phases for noisy and incomplete surface diffraction data (X-ray or transmission electron) are investigated. It is found that, while conventional methods do not always work, a minimumentropy method that uses the relative entropy is more effective in finding the correct solutions.

The classification and registration of incomplete multi-modal medical images, such as multi-sequence MRI with missing sequences, can sometimes be improved by replacing the missing modalities with synthetic data. This may seem counter-intuitive: synthetic data is derived from data that is already available, so it does not add new information. Why can it still improve performance? In this paper w...

We address the problem of multidimensional modal estimation using sparse estimation techniques coupled with an efficient multigrid approach. Modal dictionaries are obtained by discretizing modal functions (damped complex exponentials). To get a good resolution, it is necessary to choose a fine discretization grid resulting in intractable computational problems due to the huge size of the dictio...

With the aim of investigating how humans understand each other through language and gestures, this paper focuses on how people understand incomplete sentences. We trained a system based on interrupted but resumed sentences, in order to find plausible completions for incomplete sentences. Our promising results are based on multi-modal features.

We demonstrate that Bayesian machine learning can be used to treat the vast amount of experimental fission data which are noisy, incomplete, discrepant, and correlated. As an example, two-dimensional cumulative yields (CFY) neutron-induced $^{238}$U evaluated with energy dependencies uncertainty qualifications. For independent (IFY) very few data, heterogeneous fusion CFY IFY is employed interp...

the ambient vibration measurement is a kind of output data-only dynamic testing where the traffics and winds are used as agents responsible for natural or environmental excitation. therefore an experimental modal analysis procedure for ambient vibration testing needs to base itself on output-only data. the modal analysis involving output-only measurements present a challenge that requires the u...

Recommender systems have been widely used in e-commerce applications. They are a subclass of information filtering system, used to either predict whether a user will prefer an item (prediction problem) or identify a set of k items that will be user-interest (Top-k recommendation problem). Demanding sufficient ratings to make robust predictions and suggesting qualified recommendations are two si...