Clustering via the Bayesian information criterion with applications in speech recognition

Chen, Scott Shaobing; Gopalakrishnan, P.S.

doi:10.1109/icassp.1998.675347

Cited by 91 publications

(19 citation statements)

References 4 publications

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“…This tool for identifying the optimal number of clusters has already been used in many applications and more theoretical studies (e.g. Chen and Gopalakrishnan, 1998;Fraley and Raftery, 1998;Cobos et al, 2014). In addition to allowing to identify the optimal number of clusters k, an information criterion also allows for finding the best constraint value C when persistence is incorporated in the clustering procedure.…”

Section: Information Criteriamentioning

confidence: 99%

Revisiting the identification of wintertime atmospheric circulation regimes in the Euro‐Atlantic sector

Falkena

Wiljes

Weisheimer

et al. 2020

Quart J Royal Meteoro Soc

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Atmospheric circulation is often clustered in so‐called circulation regimes, which are persistent and recurrent patterns. For the Euro‐Atlantic sector in winter, most studies identify four regimes: the Atlantic Ridge, Scandinavian Blocking and the two phases of the North Atlantic Oscillation. These results are obtained by applying k‐means clustering to the first several empirical orthogonal functions (EOFs) of geopotential height data. Studying the observed circulation in reanalysis data, it is found that when the full field data are used for the k‐means cluster analysis instead of the EOFs, the optimal number of clusters is no longer four but six. The two extra regimes that are found are the opposites of the Atlantic Ridge and Scandinavian Blocking, meaning they have a low‐pressure area roughly where the original regimes have a high‐pressure area. This introduces an appealing symmetry in the clustering result. Incorporating a weak persistence constraint in the clustering procedure is found to lead to a longer duration of regimes, extending beyond the synoptic time‐scale, without changing their occurrence rates. This is in contrast to the commonly used application of a time‐filter to the data before the clustering is executed, which, while increasing the persistence, changes the occurrence rates of the regimes. We conclude that applying a persistence constraint within the clustering procedure is a better way of stabilizing the clustering results than low‐pass filtering the data.

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Section: Information Criteriamentioning

confidence: 99%

Revisiting the identification of wintertime atmospheric circulation regimes in the Euro‐Atlantic sector

Falkena

Wiljes

Weisheimer

et al. 2020

Quart J Royal Meteoro Soc

View full text Add to dashboard Cite

show abstract

“…Hence, the problem of detecting 0-indegree genes can be solved efficiently by performing a set of transformations to convert a Power-Law distribution into a Gaussian distribution. It was shown in [48,49] that given a univariate distribution, i.e. samples generated from a function of a single variable (f (b) = e −λb in our case), it can be turned into a normal distribution.…”

Section: Main Regularization Stepsmentioning

confidence: 95%

RGBM: Regularized Gradient Boosting Machines for the Identification of Transcriptional Regulators of Discrete Glioma Subtypes

Mall

Cerulo

Kunji

et al. 2017

Preprint

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The transcription factors (TF) which regulate gene expressions are key determinants of cellular phenotypes. Reconstructing large-scale genomewide networks which capture the influence of TFs on target genes are essential for understanding and accurate modelling of living cells. We propose RGBM: a gene regulatory network (GRN) inference algorithm, which can handle data from heterogeneous information sources including dynamic time-series, gene knockout, gene knockdown, DNA microarrays and RNA-Seq expression profiles. RGBM allows to use an a priori mechanistic of active biding network consisting of TFs and corresponding target genes. RGBM is evaluated on the DREAM challenge datasets where it surpasses the winners of the competitions and other established methods for two evaluation metrics by about 10-15%. We use RGBM to identify the main regulators of the molecular subtypes of brain tumors. Our analysis reveals the identity and corresponding biological activities of the master regulators driving transformation of the

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“…This method provided a score that was used to choose the best number of Gaussians N. The lower the score, the better the model fitness was [28].…”

Section: Know-how Transferringmentioning

confidence: 99%

Transferring Know-How for an Autonomous Camera Robotic Assistant

et al. 2019

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Robotic platforms are taking their place in the operating room because they provide more stability and accuracy during surgery. Although most of these platforms are teleoperated, a lot of research is currently being carried out to design collaborative platforms. The objective is to reduce the surgeon workload through the automation of secondary or auxiliary tasks, which would benefit both surgeons and patients by facilitating the surgery and reducing the operation time. One of the most important secondary tasks is the endoscopic camera guidance, whose automation would allow the surgeon to be concentrated on handling the surgical instruments. This paper proposes a novel autonomous camera guidance approach for laparoscopic surgery. It is based on learning from demonstration (LfD), which has demonstrated its feasibility to transfer knowledge from humans to robots by means of multiple expert showings. The proposed approach has been validated using an experimental surgical robotic platform to perform peg transferring, a typical task that is used to train human skills in laparoscopic surgery. The results show that camera guidance can be easily trained by a surgeon for a particular task. Later, it can be autonomously reproduced in a similar way to one carried out by a human. Therefore, the results demonstrate that the use of learning from demonstration is a suitable method to perform autonomous camera guidance in collaborative surgical robotic platforms.

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Clustering via the Bayesian information criterion with applications in speech recognition

Cited by 91 publications

References 4 publications

Revisiting the identification of wintertime atmospheric circulation regimes in the Euro‐Atlantic sector

Revisiting the identification of wintertime atmospheric circulation regimes in the Euro‐Atlantic sector

RGBM: Regularized Gradient Boosting Machines for the Identification of Transcriptional Regulators of Discrete Glioma Subtypes

Transferring Know-How for an Autonomous Camera Robotic Assistant

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