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Sampling-free variational inference of Bayesian neural networks by variance backpropagation
(Association For Uncertainty in Artificial Intelligence (AUAI), 2019)
We propose a new Bayesian Neural Net formulation that affords variational inference for which the evidence lower bound is analytically tractable subject to a tight approximation. We achieve this tractability by (i) decomposing ...
OzU-NLP at TREC NEWS 2019: Entity ranking
(National Institute of Standards and Technology (NIST), 2019)
This paper presents our work and submission for TREC 2019 News Track: Entity Ranking Task. Our approach utilizes Doc2Vec's ability to represent documents as fixed sized numerical vectors. Applied on news articles and ...
Adaptive inverse kinematics of a 9-DOF surgical robot for effective manipulation
(IEEE, 2019)
In a robotic-assisted surgical system, fine and precise movement is essential. However, when the user wishes to cover a wider area during tele-operation, the configuration designed for precise motion may restrict the user ...
Fashion image retrieval with capsule networks
(IEEE, 2019)
In this study, we investigate in-shop clothing retrieval performance of densely-connected Capsule Networks with dynamic routing. To achieve this, we propose Triplet-based design of Capsule Network architecture with two ...
Evaluating the effectiveness of multi-level greedy modularity clustering for software architecture recovery
(Springer Nature, 2019)
Software architecture recovery approaches mainly analyze various types of dependencies among software modules to group them and reason about the high-level structural decomposition of a system. These approaches employ a ...
Software UART: A use case for VSCPU worst-case execution time analyzer
(IEEE, 2019)
This paper presents our early results of the development of a Worst-Case Execution Time (WCET) analyzer for VSCPU by implementing a software UART system. Our WCET analyzer takes a C program as input and gives the time taken ...
Incremental analysis of large-scale system logs for anomaly detection
(IEEE, 2019)
Anomalies during system execution can be detected by automated analysis of logs generated by the system. However, large scale systems can generate tens of millions of lines of logs within days. Centralized implementations ...
Bandwidth prediction in low-latency chunked streaming
(The ACM Digital Library, 2019-06)
HTTP adaptive streaming with chunked transfer encoding can be used to offer low-latency streaming without sacrificing the coding efficiency. While this allows a media segment to be generated and delivered at the same time, ...
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