Error-tolerant likelihood-based match calling presents a promising technique to accurately identify recapture events in genetic mark-recapture studies by combining probabilities of latent genotypes and probabilities of observed genotypes, which may contain genotyping errors. Combined with clustering algorithms to group samples into sets of recaptures based upon pairwise match calls, these tools...

This paper describes the LIMSI speaker diarization system used in the RT-04F evaluation. The RT-04F system builds upon the LIMSI baseline data partitioner, which is used in the broadcast news transcription system. This partitioner provides a high cluster purity but has a tendency to split the data from a speaker into several clusters when there is a large quantity of data for the speaker. In th...

Fuzzy controller’s design depends mainly on the rule base and membership functions over the controller’s input and output ranges. This paper presents two different approaches to deal with these design issues. A simple and efficient approach; namely, Fuzzy Subtractive Clustering is used to identify the rule base needed to realize Fuzzy PI and PD type controllers. This technique provides a mechan...

This paper formally defines similarities as tolerance relations, which are reflexive and symmetric binary relations. An abstract set with a similarity is called a tolerance space. The training data set in a learning task is a given database of independent identically distributed random pairs (Xi, Yi), where each Xi is a record and Yi is its label: Yi ∈ {0, 1}. The goal of the learning is to des...

This paper addresses the aggregated monitoring problem for large-scale network systems with a few dedicated sensors. Full state estimation of such is often infeasible due to unobservability and/or computational infeasibility; therefore, through clustering and aggregation, tractable representation system, called projected obtained designing minimum-order average observer. observer estimates stat...

Clustering is needed in various applications such as biometric person authentication, speech coding and recognition, image compression and information retrieval. Hundreds of clustering methods have been proposed for the task in various fields but, surprisingly, there are few extensive studies actually comparing them. An important question is how much the choice of a clustering method matters fo...