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It is well known that many real-world networks (`complex' networks), such as social, biological, and communication networks, have distinctive topological features. However, in general, it is an open question whether or not these features can provide any algorithmic benefits. In this paper we introduce ideas from the area of parameterized complexity to try and provide a partial answer to this question...
Understanding how human physiological responses to a stimulus vary across individuals is critical for the fields of Affective Psychophysiology and Affective Computing. We approach this problem via network analysis. By analyzing individuals' galvanic skin responses (GSRs) to a set of emotionally charged images, we model each image as a network, in which nodes are individuals and two individuals are...
Influential agents in networks play a pivotal role in information diffusion. Influence may rise or fall quickly over time and thus capturing this evolution of influence is of benefit to a varied number of application domains such as: digital marketing, counter-terrorism or policing. In this paper we investigate the influence of users in programming communities on Twitter. We propose a new model for...
Economic and financial networks play a crucial role in various important processes, including economic integration, globalization, and financial crises. Of particular interest is understanding whether the temporal evolution of a real economic network is in a (quasi-)stationary equilibrium, i.e. characterized by smooth structural changes rather than abrupt transitions. Smooth changes in quasi-equilibrium...
This paper deals with active noise control (ANC) for impulsive noise sources being modeled using non-Gaussian stable process. The filtered-x-LMS (FxLMS) algorithm is based on minimization of the variance of the error signal, and becomes unstable for impulsive noise. The filtered-x least mean p-power (FxLMP) algorithm - based on minimizing the fractional lower order moment (FLOM) - gives robust performance...
In this paper, we propose a new method to detect and recognize events robustly in a soccer game. Based on the players density and speed, the events are detected and recognized using Hidden Markov Model (HMM). However, it is difficult to detect "free kick" and "throw in" because these events occur anytime and anywhere. In a soccer game, some event occurs when the referee blows a...
Query by Singing/Humming(QBSH) is to retrieve songs in the music database using user's singing or humming. Open-End Dynamic Time Warping (OEDTW) is one of the methods which are commonly used in QBSH studies. This paper proposes a method for improving OEDTW performance using optimal scaling factor taken from Linear scaling phase. The proposed method finds an optimal global scale of a query for each...
Recently, two methods for removing high density salt-and-pepper noise in images have been proposed by Esakkirajan et al. and Hong et al. However, their methods have not been yet compared experimentally. In this paper, we compare them and show some experimental results. Additionally, we propose a hybrid method which is derived by combining the two methods, and experimentally show that the proposed...
A novel method for predicting the ratings of video content on the basis of a viewer's behavior in a typical home environment is proposed. Using an input signal provided by a Kinect sensor, it identifies the presence of a viewer by extracting key point trajectories in video sequences of that viewer. It then estimates whether the viewer is gazing at the video content or not on the basis of the viewer's...
The degree-degree correlation has considerable effect in the real world networks. In the classic rumor spreading model also known as susceptible-infected-refractory (SIR) model, all the edges have uniform tie strength between the nodes. Therefore, for the real world complex networks, SIR model need to be modified to consider the dependence of rumor spread rate on the weight based on the tie strength...
There is a growing interest to understand the fundamental principles of how epidemic, ideas or information spread over large networks (e.g., the Internet or online social networks). Conventional approach is to use SIS models (or its derivatives). However, these models usually are over-simplified and may not be applicable in realistic situations. In this paper, we propose a generalization of the SIS...
Humans utilise multiple communication channels in their social interactions and also information diffusion as well as the spread of influence are practically related with many contexts. Each such context (channel) may represent a different communication method or a different environment of a given person. This facilitates building multiple social networks, that are not independent. They share the...
The structure of networks has always been interesting for researchers. Investigating their unique architecture allows to capture insights and to understand the function and evolution of these complex systems. Ecological networks such as food-webs and niche-overlap graphs are considered as complex systems. The main purpose of this work is to compare the topology of 15 real niche-overlap graphs with...
In this paper, we investigate face recognition in unconstrained illumination conditions. A twofold contribution is proposed: First, three state of the art algorithms, namely Multiblock Local Binary Pattern (MBLBP), Histogram of Gabor Phase Patterns (HGPP) and Local Gabor Binary Pattern Histogram Sequence (LGBPHS) are challenged against the IRIS-M3 multispectral face data base to evaluate their robustness...
Super-resolution technology, which restores high-frequency information given a low-resolved image, has attracted much attention recent years. Various super-resolution algorithms were proposed so far: example-based approach, sparse-coding-based, GMM (Gaussian Mixture Model), BPLP (Back Projection for Lost Pixels), and so on. Most of these statistical approaches rely on the training (or just preparing)...
Many people will use digital cameras and camera phones to take images. However, the visual quality (contrast, color rendition, etc.) of some acquired images may be poor due to the limitation of capturing devices or improper illumination conditions, particularly in wide dynamic range scenes. Thus, the images generally consist of both overexposed and underexposed areas. Conventional image enhancement...
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