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Traditional task-based fMRI activation detection methods, such as the general linear model (GLM), assume that the fMRI signals of activated brain regions follow the external stimulus paradigm. Typically, these activated regions are detected independently in a voxel-wise fashion, and the interaction among voxels is nevertheless neglected. Despite the wide use and remarkable success of GLM, the temporal...
Studying gaze behavior (where someone looks) is an emerging area of research particularly in the domain of behavioral psychology. Gaze behavior can, for instance, indicate the amount of attention paid in certain tasks and whether the performance is natural or not. Also, it can indicate the level of competence and experience of the user. Therefore, it has the potential to be used as an evaluative tool...
Ozarow's test channel for the quadratic Gaussian (QG) multiple description (MD) problem consists of two correlated AWGN channels. It is known that simply replacing the AWGN channels by quantizers with equivalent statistical properties as the channels, will generally not lead to a rate-distortion optimal realization of the MD rate-distortion function. We have previously proposed a symmetric two-channel...
In High Efficiency Video Coding (HEVC), a quad-tree based Coding Unit (CU) partitioning scheme is employed, achieving a substantial improvement in coding efficiency compared with previous standards. The superior coding efficiency of HEVC is achieved at the expense of greatly increased complexity. A fast intra coding scheme consisting of fast CU depth decision and fast prediction mode decision is proposed...
In this paper, we present a novel pseudo sequence based 2-D hierarchical reference structure for light-field image compression. In the proposed scheme, we first decompose the light-field image into multiple views and organize them into a 2-D coding structure according to the spatial coordinates of the corresponding microlens. Then we mainly develop three technologies to optimize the 2-D coding structure...
Holoscopic imaging is a prospective acquisition and display solution for providing natural and fatigue-free 3D visualization. However, large amount of data is required to represent the 3D holoscopic content. Therefore, efficient coding schemes for this particular type of image are needed. In this paper, an effective coding scheme is proposed by exploring the spatial correlation among the view images...
Graph-based models have recently attracted attention for their potential to enhance transform coding image compression thanks to their capability to efficiently represent discontinuities. Graph transform gets closer to the optimal KLT by using weights that represent inter-pixel correlations but the extra cost to provide such weights can overwhelm the gain, especially in the case of natural images...
High Efficiency Video Coding (HEVC) is one of the latest released video standards and offers up to 40% bitrate savings when compared to the widespread H.264/AVC standard, at the cost of a substantial complexity growth. Constraining the complexity of HEVC encoding is a challenging task for embedded applications based on a software encoder. The most frequent approach to solve this problem is to optimise...
Making a computing system that mimic biological neural behavior in mammalian brain has attracted worldwide attention and endeavor. Neuromorphic computing systems, employing very-large-scale integration circuits to implement onto hardware, incorporates learning. Neural encoder, as one of the crucial component in neuromorphic computing systems, encodes the input information into spikes. By taking the...
The Gaussian parallel relay network, in which two parallel relays assist a source to convey information to a destination, was introduced by Schein and Gallager. An upper bound on the capacity can be obtained by considering broadcast cut between the source and relays and multiple access cut between relays and the destination. Niesen and Diggavi derived an upper bound for Gaussian parallel N-relay network...
The construction of a channel code by using a source code with decoder side information is introduced. For the construction, any pair of encoder and decoder is available for a source code with decoder side information. A constrained-random-number generator, which generates random numbers satisfying a condition specified by a function and its value, is used to construct a stochastic channel encoder...
Consider a multi-source multicast network coding problem with correlated sources. While the fundamental limits are known, achieving them, in general, involves a computational burden due to the complex decoding process. Efficient solutions, on the other hand, are by large based on source and network coding separation, thus imposing strict topological constraints on the networks which can be solved...
In this paper, we propose a (k, L, n)-threshold ramp secret sharing scheme (SSS) against substitution attacks. This scheme can be applied to a secret SL uniformly distributed over GF(pm)L, where p is a prime satisfying p ≥ L + 2. We extend Koga and Koyano's analysis based on mutual information of shares for (k, n)-threshold SSSs to (k,L,n) ramp SSSs. The proposed scheme can achieve the minimum sizes...
This paper contains the theoretical bases of patterns recognition in two-dimensional Hamming space. There is grounded the perspective of application of modular weighted Hamming distance of patterns recognition evaluation by using signal lattice modules in two-dimensional Hamming space. There are shown the weaknesses and functional limitations of known methods in the tasks of Hamming distance of multidimensional...
It is known that attempts to find Barker sequence for m>13 decisions do not have. Thus, Barker sequence can be used only for signals with a relatively small base. Therefore actual is development of algorithm of construction of Barker sequence for m>13 on the basis of numerical bundles.
The unique feature of MCPC signal is pulse diversity along with high range resolution where each pulse in each frequency is complementary to one another. These properties play an important role in attracting the interests of researchers in designing waveform for radar systems. Multifrequency radar signal uses N subcarriers simultaneously with each subcarrier is phase coded by N completely different...
Motivated by real applications, heterogeneous learning has emerged as an important research area, which aims to model the co-existence of multiple types of heterogeneity. In this paper, we propose a HEterogeneous REpresentation learning model with structured Sparsity regularization (HERES) to learn from multiple types of heterogeneity. HERES aims to leverage two kinds of information to build a robust...
SQL injection is the most common web application vulnerability. The vulnerability can be generated unintentionally by software developer during the development phase. To ensure that all secure coding practices are adopted to prevent the vulnerability. The framework of SQL injection prevention using compiler platform and machine learning is proposed. The machine learning part will be described primarily...
Standard unit of information Bit generates any natural process through discrete (yes-no) interactions, including interactive macro impulses in classical physics and elementary micro impulses of quantum interactions. The elementary interactions of random impulses measures (yes-no) probability events according to Kolmogorov 1-0 law for random process. In a natural interactive process, each impulse step-down...
Rate control plays a key role in video coding, which has a significant effect on encoder performance. With parallel video coding frameworks more and more popular, rate control suitable for parallel coding is highly desired. However, most rate control algorithms only focus on the rate distortion performance but ignoring the data correlation in parallel coding. In this paper, based on the parallel framework...
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