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- Human-Robot Interaction (1)
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Articles 1 - 5 of 5
Full-Text Articles in Computational Engineering
Using Case-Based Reasoning For Spam Filtering, Sarah Jane Delany
Using Case-Based Reasoning For Spam Filtering, Sarah Jane Delany
Doctoral
pam is a universal problem with which everyone is familiar. Figures published in 2005 state that about 75% of all email sent today is spam. In spite of significant new legal and technical approaches to combat it, spam remains a big problem that is costing companies meaningful amounts of money in lost productivity, clogged email systems, bandwidth and technical support. A number of approaches are used to combat spam including legislative measures, authentication approaches and email filtering. The most common filtering technique is content-based filtering which uses the actual text of the message to determine whether it is spam or …
Structural Descriptions In Human-Assisted Robot Visual Learning, Geert-Jan Kruijff, John D. Kelleher, Gregor Berginc, Ales Leonardis
Structural Descriptions In Human-Assisted Robot Visual Learning, Geert-Jan Kruijff, John D. Kelleher, Gregor Berginc, Ales Leonardis
Conference papers
The paper presents an approach to using structural descriptions, obtained through a human-robot tutoring dialogue, as labels for the visual ob ject models a robot learns. The paper shows how structural descriptions can relate models for different aspects of one and the same object, and how relating descriptions for visual models and discourse referents enables incremental updating of model descriptions through dialogue (either robot- or human-initiated). The approach has been implemented in an integrated architecture for human-assisted robot visual learning.
Information Fusion For Visual Reference Resolution In Dynamic Situated Dialogue., Geert-Jan Kruijff, John D. Kelleher, Nick Hawes
Information Fusion For Visual Reference Resolution In Dynamic Situated Dialogue., Geert-Jan Kruijff, John D. Kelleher, Nick Hawes
Conference papers
Human-Robot Interaction (HRI) invariably involves dialogue about objects in the environment in which the agents are situated. The paper focuses on the issue of resolving discourse references to such visual objects. The paper addresses the problem using strategies for intra-modal fusion (identifying that different occurrences concern the same object), and inter-modal fusion, (relating object references across different modalities). Core to these strategies are sensori-motoric coordination, and ontology-based mediation between content in different modalities. The approach has been fully implemented, and is illustrated with several working examples
Spatial Prepositions In Context: The Semantics Of Near In The Presence Of Distractor Objects., Fintan Costello, John D. Kelleher
Spatial Prepositions In Context: The Semantics Of Near In The Presence Of Distractor Objects., Fintan Costello, John D. Kelleher
Conference papers
The paper examines how people’s judgements of proximity between two objects are influenced by the presence of a third object. In an experiment participants were presented with images containing three shapes in different relative positions, and asked to rate the acceptability of a locative expression such as ‘the circle is near the triangle’ as descriptions of those images. The results showed an interaction between the relative positions of objects and the linguistic roles that those objects play in the locative expression: proximity was a decreasing function of the distance between the object in the head position in the expression and …
A Fast Parallelized Computational Approach Based On Sparse Lu Factorization For Predictions Of Spatial And Time-Dependent Currents And Voltages In Full-Body Biomodels, Ashutosh Mishra, Ravindra P. Joshi, Karl H. Schoenbach, C. D. Clark Iii
A Fast Parallelized Computational Approach Based On Sparse Lu Factorization For Predictions Of Spatial And Time-Dependent Currents And Voltages In Full-Body Biomodels, Ashutosh Mishra, Ravindra P. Joshi, Karl H. Schoenbach, C. D. Clark Iii
Electrical & Computer Engineering Faculty Publications
Realistic and accurate numerical simulations of electrostimulation of tissues and full-body biomodels have been developed and implemented. Typically, whole-body systems are very complex and consist of a multitude of tissues, organs, and subcomponents with diverse properties. From an electrical standpoint, these can be characterized in terms of separate conductivities and permittivities. Accuracy demands good spatial resolution; thus, the overall tissue/animal models need to be discretized into a fine-grained mesh. This can lead to a large number of grid points (especially for a three-dimensional entity) and can place prohibitive requirements of memory storage and execution times on computing machines. Here, the …