Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Data analysis applications typically aggregate data across many dimensions looking for anomalies or unusual patterns. The SQL aggregate functions and the GROUP BY operator produce ...
Jim Gray, Surajit Chaudhuri, Adam Bosworth, Andrew...
-- This paper presents the theoretical analysis and the experimental validation of the force sensing capabilities of continuum robots. These robots employ super-elastic NiTi backbo...
In this paper an approach to recover the 3D human body pose from static images is proposed. We adopt a discriminative learning technique to directly infer the 3D pose from appearan...
Suman Sedai, Farid Flitti, Mohammed Bennamoun, Du ...
Developing complex distributed systems is a non-trivial task. It is even more difficult when the systems need to dynamically reconfigure the distributed functionalities or tasks...
Linda Ariani Gunawan, Michael Vogel, Frank Alexand...