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Found 12 papers, 0 papers with code
Global and Local Error-Tolerant Decentralized State Estimation under Partially Ordered Observations
Two types of errors, global errors and local errors, are proposed to describe the impact of errors on decentralized information processing.
Supervisory Control of Multi-Agent Discrete-Event Systems with Partial Observation
In this paper we investigate multi-agent discrete-event systems with partial observation.
Non-Blockingness Verification of Bounded Petri Nets Using Basis Reachability Graphs -- An Extended Version With Benchmarks
In this paper, we study the problem of non-blockingness verification by tapping into the basis reachability graph (BRG).
G-image Segmentation: Similarity-preserving Fuzzy C-Means with Spatial Information Constraint in Wavelet Space
G-images refer to image data defined on irregular graph domains.
A Novel Granular-Based Bi-Clustering Method of Deep Mining the Co-Expressed Genes
With the information granules we build a characteristic matrix of the gene data to capture the fluctuation trend of the expression value between consecutive conditions to mine the ideal bi-clusters.
Residual-driven Fuzzy C-Means Clustering for Image Segmentation
Due to its inferior characteristics, an observed (noisy) image's direct use gives rise to poor segmentation results.
Augmentation of the Reconstruction Performance of Fuzzy C-Means with an Optimized Fuzzification Factor Vector
In this paper, to enhance the quality of the degranulation (reconstruction) process, we augment the FCM-based degranulation mechanism by introducing a vector of fuzzification factors (fuzzification factor vector) and setting up an adjustment mechanism to modify the prototypes and the partition matrix.
Granular Computing: An Augmented Scheme of Degranulation Through a Modified Partition Matrix
By proposing the augmented scheme, we dwell on a novel collection of granulation-degranulation mechanisms.
Verification of Nonblockingness in Bounded Petri Nets With Minimax Basis Reachability Graphs
We construct a structure, called minimax basis reachability graph (minimax-BRG): it provides an abstract description of the reachability set of a net while preserving all information needed to test if the net is blocking.
Kullback-Leibler Divergence-Based Fuzzy $C$-Means Clustering Incorporating Morphological Reconstruction and Wavelet Frames for Image Segmentation
Considering these feature sets as data of clustering, an modified FCM algorithm is proposed, which introduces a KL divergence term in the partition matrix into its objective function.
Residual-Sparse Fuzzy $C$-Means Clustering Incorporating Morphological Reconstruction and Wavelet frames
To further enhance the segmentation effects of the improved FCM algorithm, we also employ the morphological reconstruction to smoothen the labels generated by clustering.
Joint State Estimation Under Attack of Discrete Event Systems
The aim of the attacker is that of altering the state estimation of the operator.
Cryptography and Security Formal Languages and Automata Theory
