In this paper, we propose a non-parametric Bayesian framework for multi-modal hash learning that takes into account the distance supervision (similarity/dissimilarity constraints). Our model embeds data of arbitrary modalities into a single latent binary feature with the ability to learn the dimensionality of the binary feature using the data itself. Given supervisory information (labeled simil...

In environments with information symmetry, uncertain or ambiguous data associations can lead to a multi-modal hypothesis on the robot’s state. Thus, a planner cannot simply base actions on the most-likely state. We propose an algorithm that uses a Receding Horizon Planning approach to plan actions that sequentially disambiguate a multi-modal belief to a uni-modal Gaussian and achieve tight loca...

The modal testing has proven to be an effective and non-destructive test method for estimation of the dynamic stiffness and damping constant. The aim of the present paper is to investigate the modal response of stiffened Fiber Metal Laminated (FML) circular cylindrical shells using experimental and numerical techniques. For this purpose, three types of FML-stiffened shells are fabricated by a s...

Modal parameter estimation in terms of natural frequencies and mode shapes is studied using smooth orthogonal decomposition for randomly excited vibration systems. This work shows that under certain conditions, the smooth orthogonal decomposition eigenvalue problem formulated from white noise induced response data can be tied to the unforced structural eigenvalue problem, and thus can be used f...

An object model of multi-modal transport networks is developed with particular emphasis on applications in trip planning. The model caters for both public and private transport modes, and incorporates spatial and temporal data. A uniform approach to optimum trip nding across multi-modal transport networks is developed. The multi-modal network is spatially ordered using a quadtree storage object...

The spectrum of modern molecular high-throughput assaying includes diverse technologies such as microarray gene expression, miRNA expression, proteomics, DNA methylation, among many others. Now that these technologies have matured and become increasingly accessible, the next frontier is to collect "multi-modal" data for the same set of subjects and conduct integrative, multi-level analyses. Whi...

In this paper, a structural damage identification method (SDIM) is developed for plate-like structures. This method is derived using dynamic equation of undamaged/damaged plate, in which local change in flexural rigidity is characterized utilizing a damage distribution function. The SDIM requires to modal data in the intact state and frequency response of damage state where most of vibration ba...

We investigate the hypothesis that multisensory representations mediate the crossmodal transfer of shape knowledge across visual and haptic modalities. In our experiment, participants rated the similarities of pairs of synthetic 3-D objects in visual, haptic, cross-modal, and multisensory settings. Our results offer two contributions. First, we provide evidence for a single multisensory shape r...