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Identifying meaningful signal buried in noise is a problem of interest arising in diverse scenarios of data-driven modeling. We present here a theoretical framework for exploiting intrinsic geometry in data that resists noise corruption, and might be identifiable under severe obfuscation. Our approach is based on uncovering a valid complete inner product on the space of ergodic stationary finite valued...
Salient Object Detection (SOD) has received much attention from the research community due to its increasing applications in the areas such as object detection and recognition, image editing, image and video compression, video summarization and so on. Most of the SOD methods are proposed in literature presuming that the digital images in which salient objects is to be detected, are free from any kind...
Research data of accelerometer noise parameters were used to calculate possible resolution. The layout scheme has been developed for design creation. Engineering calculations allow evaluating the reliability and the ability for MEMS inclinometer operation under external influencing factors. Protection technology has been developed to ensure reliable inclinometer operation from external influencing...
In marine science, underwater sensor networking (UWSN) is the most important and interesting arena. A novel noise aware Level Based Routing Protocol (LBRP) is proposed in this paper to contribute in this field. The LBRP is essentially a level-based routing protocol. State information is not needed to be stored and only a small portion of the total nodes are engaged in routing. It also promises the...
Performance of image mosaicing depends on overlap between the images to be joined and the percentage of noise present. An algorithm is used for joining images based on image matching by comparing the descriptors for different images. This paper is concerned with the analysis of effect of variations in noise and degree of relative overlap on the algorithm and obtaining their limits. Speeded Up Robust...
To segment multi-spectral remote sensor images, feature extraction and object classification is an essential step that performs region-based segmentation instead of a pixel-based segmentation. Spectral based segmentation methods like K-Means, Mean-shift segmentation fail to extract optimal regions from multi-spectral images. In high-resolution multi-spectral images, segmentation main aim is to divide...
The assumption of additive white Gaussian noise (AWGN) to model measurement is not valid since many applications such as in RF power measurement the noise is colored with 1/f spectrum characteristics. With this characteristics, the assumption of independently identically distribution (IID) used in signal detection and estimation becomes not valid. The autocorrelation function and power spectrum can...
A scheme to sample bandlimited graph signals in the presence of noise is analyzed. Samples are aggregated at a single node by successive applications of the so-called graph-shift operator that encodes the local structure of the underlying graph. In contrast to the noiseless case, when noise is present the choice of the sampling node and the local sample-selection scheme plays a major role in determining...
An automatic, text-independent speaker verification (SV) system is proposed using Line Spectral Frequency (LSF) features. The state-of-the-art Gaussian Mixture Model with Universal Background Model (GMM-UBM) framework is used for speaker modeling and verification. A score-level fusion based technique is employed in order to extract complementary information from static and dynamic LSF features and...
In practical speaker identification applications, the performance of systems is generally degraded because of the presence of background noise. In this paper, an advanced hybrid model VQ/GMM-UBM in speaker identification which is a combination of Vector Quantization (VQ) and Gaussian Mixture Model-Universal Background Model (GMM-UBM) is presented. Even though this algorithm takes advantages of both...
We propose secure multi-party computation techniques for the distributed computation of the average using a privacy-preserving extension of gossip algorithms. While recently there has been mainly research on the side of gossip algorithms (GA) for data aggregation itself, to the best of our knowledge, the aforementioned research line does not take into consideration the privacy of the entities involved...
t-Closeness was introduced as an improvement of the well-known k-anonymity privacy model for data release. On the other hand, e-differential privacy was originally proposed as a privacy property for answers to on-line database queries and it has been very welcome in academic circles. In spite of their quite diverse origins and motivations, we show in this paper that t-closeness and e-differential...
When exposed to visual perturbations, the motor system rapidly learns to reduce errors through adaptation of future motor commands. However, in cerebellar and stroke patients with proprioceptive impairments, motor adaptation rates are significantly slower. A recent study suggests that adaptation rates may be modulated by the stability of perturbations and the history of errors. We hypothesize that...
In this paper, a region-based moving object detection based on hu moments is concerned. Firstly, the feasibility analysis of hu moments in moving object detection is performed. Then a model of hu moments in moving object detection is presented and the performances are evaluated. The experiment results show that the hu moments can eliminate the large amount of noise caused by traditional Single Gaussian...
This paper proposes a new graph-theory-based Euler number computing algorithm. The proposed algorithm only needs to count two bit-quad patterns in the given image, while conventional bit-quad-based algorithms need to count ten. Moreover, by use of the information obtained during processing previous pixels, the average number of pixel checked for processing a bit-quad in the proposed algorithm will...
It is shown that the capacity of the channel modeled by (a discretized version of) the stochastic nonlinear Schrödinger (NLS) equation is upper-bounded by log(l + SNR) with SNR = P0/σ2(z), where P0 is the average input signal power and σ2(z) is the total noise power up to distance z. The result is a consequence of the fact that the deterministic NLS equation is a Hamiltonian energy-preserving dynamical...
This paper addresses the characterization of optimal input distributions for the general additive quadrature Gaussian-mixture (GM) noise channel under an average power constraint. The considered model can be used to represent a wide variety of communication channels, such as the well-known Bernoulli-Gaussian and Middleton Class-A impulsive noise channels, co-channel interference in cellular communications,...
The rapid development in the field of computer graphics (CG) makes it quite easy to create photo-realistic images and videos. This brings forward an emergent requirement for techniques that can distinguish CG from real contents. In this paper, we propose a method that leverages human pulse signal to distinguish between CG and real videos that include human faces. We use a robust tracking method to...
In this paper, a low overhead preamble structure is proposed for the interference approximation method — complex (IAM-C) method in offset quadrature amplitude modulation based orthogonal frequency division multiplexing (OQAM-OFDM) systems. Compared with the conventional preamble structure with three columns of symbols, the proposed preamble structure only requires two columns of symbols as the preamble...
As a promising automatic fault localization technique, Spectrum-Based Fault Localization (SBFL) has been proposed and widely studied for years, in which the effectiveness of risk evaluation formula is one of the most popular research topics. We have developed a framework to support the theoretical analysis of risk evaluation formulas, via subset relations. In this paper, we would like to further justify...
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