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01
Jun
2018
Kinodynamic RRT planners are considered to be general tools for effectively finding feasible trajectories for high-dimensional dynamical systems. However, they struggle when holonomic constraints are present in the system, such as those...
31
May
2018
Abstract:
In the process of grounding domain descriptions of planning tasks, symmetries in operator descriptions may lead to multiple operators which don't differ in their semantics. If the domain is not carefully designed, this may lead...
31
May
2018
A Data-driven Study of Popularity and Engagement in Online Videos
The share of videos in the internet traffic has been growing, therefore understanding how videos capture attention on a global scale is also of growing importance for...
31
May
2018
Record linkage is the process of identifying records that refer to the same real-world entities in situations where entity identifiers are unavailable. Records are linked on the basis of similarity between common attributes, with every...
29
May
2018
Abstract: To plan and carry out the activities of a hierarchically organized autonomous system, generally the planning and acting functions need to reflect the system's hierarchical organization. One approach for this is refinement...
29
May
2018
Spatial audio processing is the processing of real or imagined three dimensional sound environments including perceived spatial information such as the location of objects and the spatial qualities of room acoustics. Spatial audio is often...
25
May
2018
Join Dr Virginia Marshall, the ANU inaugural Indigenous Post-Doctoral Fellow for the ANU Reconciliation Week Lecture, 'Upstreamers & downstreamers: Promoting investment in First Peoples through the creation of exclusive rights'.
Dr...
24
May
2018
Curious about how a Master or PhD program can advance your skill-set, knowledge and career opportunities?
Whether you are an experienced professional, or a recent graduate continuing your academics, the College of Engineering and Computer...
24
May
2018
Abstract: Recently, deep structured networks such as deep convolutional (CNN) and recurrent (RNN) neural networks have enjoyed great success. However, similar to most machine learning techniques, current deep learning approaches rely on...
24
May
2018
Abstract: Recently, deep structured networks such as deep convolutional (CNN) and recurrent (RNN) neural networks have enjoyed great success. However, similar to most machine learning techniques, current deep learning approaches rely on...
