The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In social network analysis, the fundamental idea behind the notion of roles is to discover actors who have similar structural signatures. Actors performing the same role have similar behavioural and functional characteristics. Few examples of structural roles are bridge nodes, clique members and star centers. Role discovery involves partitioning the nodes in a network based on their structural characteristics...
Skypatterns are an elegant answer to the pattern explosion issue, when a set of measures can be provided. Skypatterns for all possible measure combinations can be explored thanks to recent work on the skypattern cube. However, this leads to too many skypatterns, where it is difficult to quickly identify which ones are more important. First, we introduce a new notion of pattern steadiness which measures...
This paper proposes an inaudible and robust audio-information-hiding scheme based on the singular-spectrum analysis (SSA) and a psychoacoustic model. SSA is used to decompose the host signals into several additive oscillatory components. The hidden information is embedded into the host signals by modifying amplitudes of some oscillatory components. To satisfy the inaudibility, we propose a novel method...
Neighborhood Covering Reduction extracts rules for classification through formulating the covering of data space with neighborhoods. The neighborhoods of covering are constructed based on distance measure and strictly constrained to be homogeneous. However, this strategy over focuses on boundary samples and thus makes the neighborhood covering model sensitive to noise. To tackle this problem, we construct...
Feature learning from unlabeled times series data is an important component in data analysis. Shaplets are discriminative sub-sequence of time series that can best predict target variable. Therefore, shaplets discovery is very important for analysis of time-series. Recently, based on optimization model, a novel approach has been proposed to learning shaplets. To make shaplets learning model more robust,...
With the rapid expansion of data scale, big data mining and analysis have attracted increasing attention. Outlier detection as an important task of data mining is widely used in many applications. However, conventional outlier detection methods have difficulty handling large-scale datasets. In addition, most of them typically can only identify global outliers and are over sensitive to parameters variation...
Shopping experience is important for both citizens and tourists. We present IntelligShop, a novel location-based augmented reality application that supports intelligent shopping experience in malls. As the key functionality, IntelligShop provides an augmented reality interface -- people can simply use ubiquitous smartphones to face mall retailers, then IntelligShop will automatically recognize the...
Machine learning and data mining have become ubiquitous tools in modern computing applications and large enterprise systems benefit from its adaptability and intelligent ability to infer patterns that can be used for prediction or decision-making. Great success has been achieved by applying machine learning and data mining to the security settings for large dataset, such as in intrusion detection,...
With the rapid expansion of data scale, big datamining and analysis has attracted increasing attention. Outlierdetection as an important task of data mining is widely usedin many applications. However, conventional outlier detectionmethods have difficulty handling large-scale datasets. In addition, most of them typically can only identify global outliersand are over sensitive to parameters variation...
The human visual system proves smart in extracting both global and local features. Can we design a similar way for unsupervised feature learning? In this paper, we propose anovel pooling method within an unsupervised feature learningframework, named Rich and Robust Feature Pooling (R2FP), to better explore rich and robust representation from sparsefeature maps of the input data. Both local and global...
"Bot", automatic robot software, has been one of most serious problems in Massively Multiplayer Online Role Playing Game (MMORPG). Bots earn much more money in a virtual world than human players, and finally collapse balance and fairness of the MMORPG. At present, many techniques have been applied to detect and exterminate bots. However, they have a common problem that the technique effective...
We investigate the structure of quantizer rules at the local sensors in distributed detection networks, in the presence of eavesdroppers (Eve), under asymptotic regime (number of sensors tending to infinity) for binary hypotheses. These local quantizers are designed in such a way that the confidentiality of sensor data is preserved while achieving optimal detection performance at the fusion center...
In this paper, a robust stabilization of the uncertain singularly perturbed system via a networked state feedback with the transmission time-delay is addressed. Taking its nominal system as a model plant, propagation unit and overall states chosen to overcome the difficulty of communication delay, the characterization of singular perturbation for the overall hybrid system is still preserved on each...
In this paper deal with the problem of asymptotic stability for a class of uncertain stochastic neural networks with discrete-time and unbounded distributed delays. The sufficient conditions to guarantee the robust global asymptotic stability in mean square of an equilibrium solution are given. One example is also given to demonstrate our results.
In this paper we consider the aggregation problem for the agents with finite size body. Each agent is modeled as a (hyper-)sphere with first-order dynamics. A theory is established for analysis to the problem of cohesion with collision avoidance. Explosion and broken phenomenon is observed in simulation, some robust indices are proposed to investigate the phenomenon.
The problem of ambiguous word sense poses lots of difficulties for language automatic understanding. And the research of word sense discrimination is applied to the resolution of this problem. Statistics are booming in researching this problem. While due to limitation of the scale of training corpus, the method of statistical word sense discrimination can not attain satisfying results yet. Therefore,...
Image registration is a premise of many image analysis and computer vision methods. In this paper, we introduce a registration approach using second-order central moment and Hough transform. This approach first estimate the rotation by using the second-order central moment in a low resolution image, then calculate the exact rotation by using Hough transform in the original resolution image to get...
The problem of gait period detection was transformed to that of regional characteristics analysis in a single frame, namely, the gait period was divided according to region characteristic variable in each frame. A method for gait period detection based on regional characteristics analysis is proposed in this paper. Gait video sequences were coarsely classified into frontal and non-frontal ones in...
On basis of cluster supply chain with two four-echelon single supply chains, cross-chain inventory coordination between two retailers is taken into account on condition of the two supply chains co-petition. The time-varying robust control system model is built, the method of quantizing bullwhip effect is put forward, and optimal orders are explored through utilizing Hinfin control arithmetic. The...
In this paper, we consider robust stability of interval polynomials of which stability region is the special left sector. The argument of the boundary of the special left sector is expressible as an irrational number multiplied by the circle ratio. We show that a family of interval polynomials is robustly stable if and only if a small set of vertex polynomials are robustly stable. This new result...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.