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This paper presents a method that embeds stability-sensitive filter in the temporal matching kernel with explicit feature maps (TE). The added filter improves the robustness of TE to noise for content-based video retrieval. Originally TE embeds temporal information of frame descriptors by using explicit feature mapping in a fixed length video vector by using a temporal invariant match kernel. TE matches...
This paper develops a linear parameter varying(LPV) based robust model predictive control(MPC) method for a multi-vectored airship, the speed of the forward flight channel is considered. The nonlinear model of the airship is introduced with kinematics and dynamics. Then, in order to obtain the LPV models, the small perturbation linearization method is used. After that, the higher order singular value...
This paper addresses the robust non-fragile leader-following consensus problem for multi-agent systems against state-dependent uncertainties and controller coefficient variations. Without the requirement of knowledge of uncertainties of agents and controllers, adaptive distributed controllers are constructed to guarantee the follower agents tracking the leader agent. Asymptotic consensus results of...
In this paper, we consider the design problem of a decentralized variable gain robust controller that provides practical tracking for a class of large-scale interconnected systems with mismatched uncertainties. Furthermore, we show that sufficient conditions for the existence of the proposed decentralized variable gain robust controller are reduced to the feasibility of linear matrix inequalities...
In this paper, the non-fragile finite-time tracking control problem is addressed for a class of uncertain linear systems with controller multiplicative coefficient variations. An adaptive control strategy is constructed to ensure that the system tracks a time-varying target orbit. The relationship of the bound of tracking errors and the size of uncertainties and controller multiplicative coefficient...
Skew detection is a crucial step for document analysis systems. Indeed, it represents one of the basic challenges, especially in case of historical documents analysis. In this paper, we propose a novel robust skew angle detection and correction technique. Morphological Skeleton is introduced to significantly reduce the amount of data to treat by removing the redundant pixels and keeping only the central...
We investigate the filter design problem for discretetime interval uncertain positive systems under the ℓ1 performance in this paper. First, we propose some conditions expressed by linear programming to ensure the asymptotic stability and the ℓ1 performance for given positive systems. Then, we establish a novel filter design approach and an iterative algorithm to obtain the desired filter for interval...
Jump random noises exist widely in control systems. In this paper, the guaranteed cost control problem for uncertain systems perturbed by jump random noises is considered. By adopting Poisson process to describe jump random noises, this paper utilize martingale theory to design a controller, which can stabilize such stochastic systems and guarantee the specified cost function has an upper bound.
Owing to its simplicity and efficacy, orthogonal matching pursuit (OMP) has been a popular sparse representation method for compressed sensing and pattern classification. As a recent extension of OMP, generalized OMP (GOMP) improves the efficiency of OMP by identifying multiple atoms each iteration. Nonetheless, GOMP utilizes the mean square error (MSE) criterion as the loss function, which has been...
We investigate the problem of computing Completely Independent Spanning Trees (CIST) under a practical approach. We aim to show that despite CISTs are very challenging to exhibit in some networks, they present a real interest in ad-hoc networks and can be computed to enhance the network robustness. We propose an original ILP formulation for CISTs and we show through simulation results on representative...
The Named-Data Networking (NDN) has emerged as a clean-slate Internet proposal on the wave of Information-Centric Networking. Although the NDN's data-plane seems to offer many advantages, e.g., native support for multicast communications and flow balance, it also makes the network infrastructure vulnerable to a specific DDoS attack, the Interest Flooding Attack (IFA). In IFAs, a botnet issuing unsatisfiable...
We study a situation where a swarm of robots is deployed to handle multiple different targets in a confined unknown area. The targets are found in real time and each target requires a certain amount of resources. An individual robot may not have sufficient capabilities for its execution, therefore an announcement process can start. We address the issue of how each robot responds itself to one of the...
An active queue management controller based on Hamiltonian energy theory for a class of nonlinear TCP network congestion system in the p resence of uncertain parameters and unknown external disturbances is derived. The restriction of inequality assumption is eliminated by introducing the MiniMax methods into dissipation Hamilton system. Sufficient conditions for the existence of MiniMax controller...
It is well accepted that we learn hard lessons when implementing and re-evaluating systems, yet it is also acknowledged that science faces a crisis in reproducibility. Experimental computer science is far from immune, although it should be easier for CS than other sciences, given the emphasis on experimental artifacts, such as source code, data sets, workflows, parameters, etc. The data management...
There has been a phenomenal increase in the utility of text classification (TC) in applications like targeted advertisement and sentiment analysis. Most applications demand that the model be efficient and robust, yet produce accurate categorizations. This is quite challenging as their is a dearth of labelled training data because it requires assigning labels after reading the whole document. Secondly,...
Palm vein recognition has emerged as a novelty highly invariant biometric technique that is difficult to forge due to their internal nature. In this work the texture descriptors Local Binary Patterns (LBP) and Uniform Local Binary Patterns (LBPU) are analyzed as feature extraction methods for biometric verification based on palm veins. Their performance and efficiency has been studied through a multivariate...
With an increase in acceptance of face recognition systems, the desire for accurate biometric authentication — face recognition, has increased. Nowadays, the fundamental limitations of existing systems are, the vulnerabilities of false verification via a picture or simple video of a person. In this paper, it is inspired by how humans can perform reliable spoofing detection only based on the available...
Beyond providing alternatives to build rubrics, a group of researchers in Tecnológico de Costa Rica found the need to implement best practices in the definition and validation of evaluation rubrics, to encourage the creation of a Higher Education bank of assessment instruments. To achieve this goal, in the Tecnológico de Costa Rica, a teacher training process was established, which includes cooperative-collaborative...
Efficient and accurate access to foreground objects in video is the basis and key in the field of motion vision. Its difficulty lies in the dynamic background, illumination changes and such complex situations. The foreground object detection method based on robust principal component analysis (RPCA) has made great progress. In recent years, the Online Robust PCA (OR-PCA) has effectively solved the...
This work is devoted to the admissibility analysis for singular time-delay systems by using delta operator approach. By estimating the delay term with a two-term approximation, the singular system in delta operator domain is transformed into an interconnection of a time-invariant subsystem with constant delay and a uncertain one. By resorting to the input-output approach, a delay-range-dependent admissibility...
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