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Recently, there has been increasing interest in extending relational query processing to efficiently support extraction operators, such as dictionaries and regular expressions, over text data. Many text processing queries are sophisticated in that they involve multiple extraction and join operators, resulting in many possible query plans. However, there has been little research on building the selectivity...
The paper deals with modeling, processing, evaluating and refining processes with humans involved like (not only, but also e-) learning. A formerly developed concept called storyboarding has been applied at a university to model the various ways to study at this university. Along with this storyboard, we developed a data mining technology to estimate success chances of curricula. Here, we introduce...
Moving objects detection in dynamic scenes is a challenging task in many computer vision applications. Traditional background modeling methods do not work well in these situations since they assume a nearly static background. In this paper, a novel operator named spatial extended center-symmetric local binary pattern (SCS-LBP) for background modeling is proposed. It extracts spatial and temporal information...
The usefulness of persistent excitation is well-known in the control community. Thanks to a persistently excited adaptive tracking control, we show that it is possible to avoid the strong controllability assumption recently proposed in the multidimensional ARX framework. We establish the almost sure convergence for both least squares and weighted least squares estimators of the unknown parameters...
Group Lasso is an efficient regularized least-square regression algorithm, and is now being used as a computationally feasible method to select grouped variables. In this paper, we address the issue of estimation consistency of the group Lasso with special diagonal matrix. We derive sufficient condition for the consistency of group Lasso under practical assumptions, such as model misspecification...
Real-word entities can be mapped to unique entity identifiers through an Entity Name System (ENS), to systematically support the re-use of these identifiers and disambiguate references to real world entities in the Web. An entity subscription service informs subscribed users of changes in the descriptive data of an entity, which is a set of attribute name-value pairs. We study the design, implementation...
Referring to the possible problem of gyro random drift effect on the Line of Sight (LOS) stabilization accuracy, a method for the LOS stabilization based on visual attitude estimation is proposed. A monocular vision system is established by four coplanar reference points on the ground and a double-focus CCD camera in the carrier. The quaternion is used to represent the transform relation between geodetic...
In this study, we propose a gradual adaption model for a Web recommender system. This model is used to track users' focus of interests and its transition by analyzing their information access behaviors, and recommend appropriate information. A set of concept classes are extracted from Wikipedia. The pages accessed by users are classified by the concept classes, and grouped into three terms of short,...
This electronic propagation is the most important spatial characteristics of bioelectrical signals, whereas time delay estimation (TDE) is the most effective quantitative method in the spatial propagation feature extraction of biomedical signals. A new robust TDE algorithm using the variable step-size affine projection ( RVSAPA) and its application experiments are presented in this paper. Due to it...
This paper proposes a method to develop the multinomial logit(MNL) model for a sequence of choices behavior that incorporates the probability of last choice in the current representative utility.The function of last probability could be additionally used as the coefficients of some part of observed component,while other alternative-specific coefficients are assumed to be variable only with their initial...
In a conventional traffic lights controller, the lights either change at constant cycle times or at times proportional to the length of each leg of the intersection. Such approaches clearly are not perfect for optimizing traffic flow. Waiting times proportional to lane length may work well for a single-lane road but when roads with multiple lanes are considered the solution would not be optimal. The...
This paper presents a new framework of language model adaptation based on modification of structures of background corpus and language model. The widely used adaptation approach such as Linear Interpolation Method (LI) and Minimum Discrimination Information (MDI) method are used as the approaches to modify structure of trained background language model in new framework, while Maximum A Posteriori...
Various fields of human activity (management, politics, marketing, medicine, etc.) are involved in estimating the current state and predicting the development of some complex system or process with imprecise and unreliable data. In this paper, we introduce an approach that can help deal with such tasks. We describe the approach and demonstrate it by the example of the problem of microelectronic design...
We consider the problem of estimating the structural breaks in a long memory FARIMA process. The number m of break points as well as their locations, the order (p, d, q) and the parameters of each regime are assumed to be unknown. To estimate the unknown parameters, we propose two criteria based on the minimum description length (MDL) principle of Rissanen, namely a direct extension of MDL and an...
Node Localization plays an important role in the applications of wireless sensor networks (WSNs). The whole localization mechanism of WSN target nodes consists of three key steps, the identification and data exchange step, the range estimation step, and the position estimation step. Based on the RSSI (Received Signal Strength Indication) technology, the BP (Back Propagation)-loss channel model is...
In this paper, a new simple, adaptive, high-capacity steganographic algorithm for 3D models using contour theory in spatial domain is proposed. Every vertex of a 3D model can adaptively embed variable 3sigma (sigmages1) bits using contour space subdivision and multi quantization index modulation (MQIM) with low distortion. We first use vertex weight estimation which is used to estimate the degree...
This paper presents an indirect adaptive stabilization scheme for first-order continuous-time systems under saturated input which is described by a sigmoidal function. The singularities are avoided through a modification scheme for the estimated plant parameter vector so that its associated Sylvester matrix is guaranteed to be non-singular and then the estimated plant model is controllable. The modification...
A recursive partial least squares (RPLS) soft sensor with moving window of fixed length is proposed, taking the saturation and integral information of the modeling samples into account. Part of the historical information is recursively retained by the mean and variance updating and the parameters of the model are rolling estimated. The proposed inferential is applied to an industrial isomerization...
SAR images are affected by speckle which is a coherent process modelled as a multiplicative noise. It makes the automatic image classification difficult. Thus, many methods have been developed to remove speckle from SAR images while preserving the useful information of the image such as texture. This paper presents an evaluation of texture extraction parameter estimation methods using Cramer-Rao lower...
This paper presents a method to obtain confidence intervals (CI) for load forecast. It is based on the calculation of empirical quantiles of relative forecast error observed in the past. A classification is made between days for which the load forecast is difficult and those for which it is easier; this classification is made a priori, based on forecast error knowledge. Some CI's skills for the confidence...
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