A Multi-Modal Approach to Closing Exploratory Laparotomies Including High-Risk Wounds

A Multi - Modal Approach to Functional Neuroimaging

The work undertaken involves the use of functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) as separate but complementary non-invasive functional brain imaging modalities. The aim in combining fMRI and MEG is centred around exploitation of the high temporal resolution available in MEG, and the high spatial resolution available in fMRI. However, whilst MEG represents a ...

A local approach to modal logic for multi - agentsystems ?

A Topic Model Approach to Multi-Modal Similarity

Calculating similarities between objects defined by many heterogeneous data modalities is an important challenge in many multimedia applications. We use a multi-modal topic model as a basis for defining such a similarity between objects. We propose to compare the resulting similarities from different model realizations using the non-parametric Mantel test. The approach is evaluated on a music d...

A Single-Planner Approach to Multi-Modal Humanoid Mobility

In this work, we present an approach to planning for humanoid mobility. Humanoid mobility is a challenging problem, as the configuration space for a humanoid robot is intractably large, especially if the robot is capable of performing many types of locomotion. For example, a humanoid robot may be able to perform such tasks as bipedal walking, crawling, and climbing. Our approach is to plan for ...

A Model Based Approach to Statistical, Multi-Modal Sensor Fusion

We propose a framework for obtaining statistical inferences from multi-modal and multisensor data. In particular, we consider a military battlefield scene and address problems that arise in tactical decision-making while using a wide variety of sensors (an infrared camera, an acoustic sensor array, a human scout, and a seismic sensor array). Outputs of these sensors vary widely, from 2D images ...