Recent deep learning models have demonstrated strong capabilities for classifying text and non-text components in natural images. They extract a high-level feature computed globally from a whole image component (patch), where the cluttered background information may dominate true text features in the deep representation. This leads to less discriminative power and poorer robustness. In this wor...

Extraction of text embedded in scene images has many applications, such as license plate recognition, content based retrieval, text based indexing etc. As the appearances of the text in images are unpredictable, separating text pixels from the background is a challenging one. A new frame work is introduced here which uses edge enhanced MSER along with connected components for text extraction. C...

In this project, we introduce an evaluation method for regions of interest detectors in images of general 3d-scenes addressing some issues of the framework by Mikolajczyk et al. (2005) and the extension to non-planar scenes by Fraundorfer and Bischof (2005). By generating more reliable ground truth and test images from detailed POV-Ray scenes, we were able to take the influence of discontinuiti...

in this paper, we investigate the existence of positive solutions for the ellipticequation $delta^{2},u+c(x)u = lambda f(u)$ on a bounded smooth domain $omega$ of $r^{n}$, $ngeq2$, with navier boundary conditions. we show that there exists an extremal parameter$lambda^{ast}>0$ such that for $lambda< lambda^{ast}$, the above problem has a regular solution butfor $lambda> lambda^{ast}$, the probl...

Inter-symbol Interference (ISI) is well thought-out as a major problem in the wireless communication channel to transfer data. The purpose of the equalizer is to reconstruct the original signal by using filters or other techniques, and remove ISI. There are several methods to solve the problem. One of the methods is adaptive decision feedback equalizer based MSER (ADFEM) is Presented along with...

Pokrass et al. [PBBS12] present a novel sparse modeling approach to non-rigid shape matching using only the ability to detect repeatable regions. They show that such scarce information as two sets of regions in two shapes is sufficient to establish very accurate correspondences between shapes. The paper presents methods from the field of sparse modeling and show how they can be aplied to simult...

This paper presents recent and planned activities in the area of computer aided detection and classification (CAD / CAC) of mine like objects (MLOs) at the FWG with assistance of FU-Berlin and FGAN-FOM. These investigations are intended to support software for the analysis of side scan sonar images by an operator and to contribute to automatic target recognition (ATR) software in case of autono...

We adopt constrained relaxation for distributed multiview video coding (DMVC). The novel framework integrates the graphbased segmentation and matching to generate interview correlated side information without knowing the camera parameters, inspired by subgraph semantics and sparse decomposition of high-dimensional scale invariant feature data. The sparse data as a good hypothesis space aim for ...

An adaptive minimum symbol error rate (MSER) linear multiuser detector (MUD) is proposed for direct sequence code division multiple access (DS-CDMA) systems employing multilevel pulseamplitude modulation ( -PAM) scheme. Based on a kernel density estimation for approximating the symbol error rate (SER) from training data, a least mean squares (LMS) style stochastic gradient algorithm called the ...

The equalisation topic is well researched and a variety of solutions are available. The MAP sequence detector provides the lowest symbol error rate (SER) attainable, and the MLSE offers a near optimal solution. However, these optimal techniques are not yet practical for high-level modulation schemes, due to their computational complexity. Linear equaliser or linear-combiner DFE are practical sc...