Originally designed to model text, topic modeling has become a powerful tool for uncovering latent structure in domains including medicine, finance, and vision. The goals for the model vary depending on the application: in some cases, the discovered topics may be used for prediction or some other downstream task. In other cases, the content of the topic itself may be of intrinsic scientific int...

Originally designed to model text, topic modeling has become a powerful tool for uncovering latent structure in domains including medicine, finance, and vision. The goals for the model vary depending on the application: in some cases, the discovered topics may be used for prediction or some other downstream task. In other cases, the content of the topic itself may be of intrinsic scientific int...

In this paper, we propose a new full-fuzzy video ratecontrol algorithm (RCA) for variable bit rate (VBR) videoapplications. The proposed RCA provides high qualitycompressed video with a low degree computational complexity.By controlling the quantization parameter (QP) on a picturebasis, it produces VBR video bit streams. The proposed RCAhas been implemented on the JM H.264/AVC video codec andth...

In this paper, we analyze a sparse nonlinear inverse scattering problem arising in microwave imaging and numerically solved it for retrieving dielectric contrast from measured fields. In sparsity reconstruction, contrast profiles are a priori assumed to be sparse with respect to a certain base. We proposed an approach which is motivated by a Tikhonov functional incorporating a sparsity promotin...

Exploration is a challenging tasks in mobile robotics, which has been discussed to a great extend for ground robots. Its application on Micro Aerial Vehicles (MAVs), however, produces unique challenges. In this paper we present an approach for map-exploration designed for a quadrotor helicopter navigating through GPS-denied indoor envirionment using a single fisheye camera as primary sensor. Ba...

While there exists an increasingly large number of Linked Data, metadata about the content covered by individual datasets is sparse. In this paper, we introduce a processing pipeline to automatically assess, annotate and index available linked datasets. Given a minimal description of a dataset from the DataHub, the process produces a structured RDF-based description that includes information ab...

This paper proposes a new regularization term for optical flow related problems. The proposed regularizer properly handles rotation movements and it also produces good smoothness conditions on the flow field while preserving discontinuities. We also present a dual formulation of the new term that turns the minimization problem into a saddle-point problem that can be solved using a primal-dual a...

Gust and turbulence events are of primary importance for the analysis flight incidents, design gust load alleviation systems calculation loads in airframe. cannot be measured directly but they can obtained through direct or optimisation-based methods. In method discretisation Fredholm Integral equation is associated with an ill conditioned matrix. this work effects regularisation methods includ...