We present a new optical-flow-based technique to estimate the wall shear rate using a special illumination technique that makes the brightness of particles dependent on the distance from the wall. The wall shear rate is derived directly (that means, without previous calculation of the velocity vector field) from two of the components of the velocity gradient tensor which in turn describes the k...

The application of digital vector maps faces some unsolved issues such as digital copyright protecting, data authenticating, and data source tracing, etc. These issues could be obstacles restricting the further usage of digital vector maps. The technique of watermarking provides potential solutions for the problem. Comparing with the watermarking schemes designed for general multimedia data, wa...

In this paper we propose a three-dimensional vector quantization-based video coding scheme. The algorithm uses a 3D vector quantization pyramidal codebook-based model with adaptive pyramidal codebook for compression. The pyramidal codebook-based model helps in getting high compression in case of modest motion. The adaptive vector quantization algorithm is used to train the codebook for optimal ...

In this paper, we introduce admissible vectors of covariant representations of a dynamical system which are extensions of the usual ones, and compare them with each other. Also, we give some sufficient conditions for a vector to be admissible vector of a covariant pair of a dynamical system.  In addition, we show the existence of Parseval frames for some special subspaces of $L^2(G)$ related to...

Special relativity is one of the monumental achievements of physics of the 20th Century. Whereas Einstein used a coordinate based approach [1], which obscures important geometric aspects of this fundamental theory, many coordinate free geometric languages have since been developed. In [2], D. Hestenes showed how the ideas of special relativity can be elegantly expressed in space-time algebra. T...

In this paper, a real-valued covariance vector sparsity-inducing method for direction of arrival (DOA) estimation is proposed in monostatic multiple-input multiple-output (MIMO) radar. Exploiting the special configuration of monostatic MIMO radar, low-dimensional real-valued received data can be obtained by using the reduced-dimensional transformation and unitary transformation technique. Then,...

We extend the Spectral Construction, a technique used with great success to study and construct vector bundles on elliptically fibered varieties, to a special family of abelian surface fibered varieties. The results are motivated by requirements from Heterotic String Phenomenology where vector bundles with specified chern class are required to produce a realistic particle spectrum. Although onl...

The support vector machine is a supervised learning technique for classification increasingly used in many applications of data mining, engineering, and bioinformatics. This chapter aims to provide an introduction to the method, covering from the basic concept of the optimal separating hyperplane to its nonlinear generalization through kernels. A general framework of kernel methods that encompa...