Results 51 to 60 of about 1,959,808 (288)
IEEE Access, 2019 The hidden Markov model (HMM) has long been one of the most commonly used probability graph models for modeling sequential or time series data. It has been widely used in many fields ranging from speech recognition, face recognition, anomaly detection ...
Ru Wang, Wentao Fan
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A Smart Region-Growing Algorithm for Single-Neuron Segmentation From Confocal and 2-Photon Datasets
Frontiers in Neuroinformatics, 2020 Accurately digitizing the brain at the micro-scale is crucial for investigating brain structure-function relationships and documenting morphological alterations due to neuropathies.
Alejandro Luis Callara +5 more
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On Methods for Merging Mixture Model Components Suitable for Unsupervised Image Segmentation Tasks
Mathematics, 2022 Unsupervised image segmentation is one of the most important and fundamental tasks in many computer vision systems. Mixture model is a compelling framework for unsupervised image segmentation.
Branislav Panić +3 more
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Estimating Mixture Models via Mixtures of Polynomials
CoRR, 2016 NIPS ...
Sida Wang 0001 +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu +8 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSpectral responses captured by satellites can be adapted for a wide range of questions and applications relevant to land use/land cover (LULC) analysis. The multitude of existing and upcoming satellites can significantly advance the study of cause–
Emiliana Valentini +10 more
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Identifiability of multivariate logistic mixture models [PDF]
, 2014 Mixture models have been widely used in modeling of continuous observations. For the possibility to estimate the parameters of a mixture model consistently on the basis of observations from the mixture, identifiability is a necessary condition.
Han, JiQing, Shi, ZiQiang, Zheng, TieRan
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Pediatric central nervous system (CNS) tumors often recur despite multimodality therapy. Although re‐irradiation (re‐RT) has historically been limited by concerns for severe late toxicities, modern techniques have renewed interest in this approach. Proton therapy provides dosimetric advantages that may enable curative re‐treatment with
Jin‐Ho Song +15 more
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Model Averaging and Grid Maps for Modeling Heavy-Tailed Insurance Data
RisksThis work presents a practical approach to improve risk quantification for heavy-tailed insurance claims through model averaging and grid map visualization, addressing the drawbacks of traditional single “best” model selection commonly used in actuarial ...
Lira B. Mothibe, Sandile C. Shongwe
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Segmentation and generalisation for writing skills transfer from humans to robots
Cognitive Computation and Systems, 2019 In this study, the authors present an enhanced generalised teaching by demonstration technique for a KUKA iiwa robot. Movements are recorded from a human operator, and then the recorded data are sent to be segmented via MATLAB by using the difference ...
Chunxu Li +2 more
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