Direct fixed-weight solver for free-support Wasserstein medians relocates atoms using OT barycentric projections and inverse-distance weights, achieving monotone descent on smoothed objectives with fewer subproblems than nested Weiszfeld baselines.
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A Threshold Selection Method from Gray-Level Histograms.IEEE Transactions on Systems, Man, and Cybernetics1979,9, 62–66
12 Pith papers cite this work. Polarity classification is still indexing.
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The profile maximum likelihood estimator for the location in anisotropic hyperbolic wrapped normal models is strongly consistent, asymptotically normal, and attains the Hájek-Le Cam minimax lower bound under squared geodesic loss.
FreeStory reformulates character consistency as entity-grounded feature reuse for free-form prompts, introduces FreeStoryBench, and reports stronger consistency than baselines among training-free methods.
Introduces Hell-Char, PaLit-Char and Med-Char datasets plus a similarity-weighted supervised contrastive loss and lacuna augmentation to learn diachronic embeddings for ancient Greek letterforms.
DR-Mamba performs automatic per-document domain adaptation for binarization by modeling fast detail and slow background routes with subtractive suppression in a single forward pass.
Immiscible PdIr nanoparticles show atomic-scale interdiffusion via surface atom hopping at 200°C, flattening at 300°C, interfacial Ir diffusion at 400°C, and collective mixing at 900°C, observed with 4D electron tomography.
A stereo calibration framework for RGB-TIR cameras with 625:1 resolution asymmetry uses an active OLED screen, Hessian-based corner detection, and baseline-constrained bundle adjustment to achieve 0.382 px reprojection error.
A review reframing density estimation as 'density evolution' across scales, linking kernel smoothing to heat flow, mixtures to compression, and topology to level sets, while stating three structural results on modes, Gaussian semigroups, and log-concavity.
Otsu's between-class variance correlates more strongly with SSIM and PSNR than Kapur's entropy on BSDS500 images, revealing metric-objective bias in multilevel thresholding evaluation.
A public GPU workflow for non-Fourier SENSE MRI reconstruction with sensitivity and off-resonance mapping enables fast, accurate imaging from challenging spiral trajectories.
A detection-gated YOLOv8n-U-Net pipeline extracts glottal area waveforms from high-speed endoscopy videos, achieving cross-dataset DSC of 0.745 and using area coefficient of variation to distinguish healthy from pathological cases in a 40-subject study.
The MPEX AI Digital Twins project reports that its two phase-I AI milestones for hot-spot control and damage assessment are on track for June 2026 demonstration.
citing papers explorer
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Fast Computation of Free-Support Wasserstein Medians
Direct fixed-weight solver for free-support Wasserstein medians relocates atoms using OT barycentric projections and inverse-distance weights, achieving monotone descent on smoothed objectives with fewer subproblems than nested Weiszfeld baselines.
-
Profile Likelihood Inference for Anisotropic Hyperbolic Wrapped Normal Models on Hyperbolic Space
The profile maximum likelihood estimator for the location in anisotropic hyperbolic wrapped normal models is strongly consistent, asymptotically normal, and attains the Hájek-Le Cam minimax lower bound under squared geodesic loss.
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FreeStory: Training-Free Character Consistency for Free-Form Visual Storytelling
FreeStory reformulates character consistency as entity-grounded feature reuse for free-form prompts, introduces FreeStoryBench, and reports stronger consistency than baselines among training-free methods.
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Learning Diachronic Representations of Ancient Greek Letterforms
Introduces Hell-Char, PaLit-Char and Med-Char datasets plus a similarity-weighted supervised contrastive loss and lacuna augmentation to learn diachronic embeddings for ancient Greek letterforms.
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DR-Mamba: Automatic Inference-Time Domain Adaptation for Document Image Binarization via Sample-Conditioned Detail-Background Suppression
DR-Mamba performs automatic per-document domain adaptation for binarization by modeling fast detail and slow background routes with subtractive suppression in a single forward pass.
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Tracking atomic-scale interdiffusion in immiscible bimetallic nanoparticles via four-dimensional electron tomography
Immiscible PdIr nanoparticles show atomic-scale interdiffusion via surface atom hopping at 200°C, flattening at 300°C, interfacial Ir diffusion at 400°C, and collective mixing at 900°C, observed with 4D electron tomography.
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On RGB-TIR Stereo Calibration under Extreme Resolution Asymmetry
A stereo calibration framework for RGB-TIR cameras with 625:1 resolution asymmetry uses an active OLED screen, Hessian-based corner detection, and baseline-constrained bundle adjustment to achieve 0.382 px reprojection error.
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Density Evolution: A Multiscale View of Density Estimation
A review reframing density estimation as 'density evolution' across scales, linking kernel smoothing to heat flow, mixtures to compression, and topology to level sets, while stating three structural results on modes, Gaussian semigroups, and log-concavity.
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Image Thresholding: Understanding Bias of Evaluation Metrics towards Specific Evaluation Functions
Otsu's between-class variance correlates more strongly with SSIM and PSNR than Kapur's entropy on BSDS500 images, revealing metric-objective bias in multilevel thresholding evaluation.
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A GPU-enhanced workflow for non-Fourier SENSE reconstruction
A public GPU workflow for non-Fourier SENSE MRI reconstruction with sensitivity and off-resonance mapping enables fast, accurate imaging from challenging spiral trajectories.
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A Detection-Gated Pipeline for Robust Glottal Area Waveform Extraction and Clinical Pathology Assessment
A detection-gated YOLOv8n-U-Net pipeline extracts glottal area waveforms from high-speed endoscopy videos, achieving cross-dataset DSC of 0.745 and using area coefficient of variation to distinguish healthy from pathological cases in a 40-subject study.
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MPEX AI Digital Twins Milestone Report
The MPEX AI Digital Twins project reports that its two phase-I AI milestones for hot-spot control and damage assessment are on track for June 2026 demonstration.