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- 2Abdi Oskouie, Mina
- 2Chowdhury, Md Solimul
- 2Chubak, Pirooz
- 2Rabbany khorasgani, Reihaneh
- 2Sacharuk, Edward, 1948-
- 2Sharifi, AmirAli
- 68Machine Learning
- 63Reinforcement Learning
- 41Artificial Intelligence
- 36Machine learning
- 21Natural Language Processing
- 20Image processing. Digital techniques.
A Cluster based Free Viewpoint Video System using Region-tree based Scene Reconstruction
Free viewpoint video (FVV) has been widely speculated as one of the next generation of visual media applications. By taking advantage of camera array based multiple imaging techniques, FVV enables free viewpoint navigation to invoke a sense of “being immersed” for the viewers. This thesis...
A cluster-based router is a new router architecture that is composed of a cluster of commodity processing nodes interconnected by a high-speed and low-latency network. It inherits packet processing extensibility from the software router, and forwarding performance scalability from clustering. In...
In this thesis we propose a computational model of animal behavior in spatial navigation, based on reinforcement learning ideas. In the field of computer science and specifically artificial intelligence, replay refers to retrieving and reprocessing the experiences that are stored in an abstract...
The issue-tracking systems used by software projects contain issues or bugs written by a wide variety of bug reporters, with different levels of knowledge about the system under development. Typically, reporters lack the skills and/or time to search the issue-tracking system for similar issues...
Recent proliferation of low-cost and lightweight GPS tracking devices led to a large increase in the amounts of collected mobility data. The rapidly emerging field of location-based services requires accurate and informative knowledge mining from these large quantities of data. One such mobility...
A key problem in the theory of meta-learning is to understand how the task distributions influence transfer risk, the expected error of a meta-learner on a new task drawn from the unknown task distribution. In this work, focusing on fixed design linear regression with Gaussian noise and a...
In wireless sensor networks, sensor nodes may fail due to energy depletion or physical damage. To recover the data of a failed node, we propose a fault recovery scheme which enables the remaining alive sensor nodes to use the redundant information with regard to the failed node to fulfill the...
Nowadays, the volume of collected data and the size of datasets raise various challenges in the field of data mining. One of such challenges is to, given a dataset, monitor a set of data points and its changes over a period of time. Previously, this monitoring has been done using pattern...
The ubiquity of the Internet-of-Things (IoT) devices in everyday life allows various sensors to be utilized in networked systems for solving a number of real-world problems. Models utilizing specific sensing modalities achieve impressive performance in understanding human activity and are used in...
HDBSCAN* is a hierarchical density-based clustering method that requires a single parameter mpts, a smoothing factor that implicitly influences which clusters are more detectable in the resulting clustering hierarchy. While a small change in mpts typically leads to a small change in the...