Results 61 to 70 of about 1,562 (268)

Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration [PDF]

open access: yes, 2018
Computing optimal transport distances such as the earth mover's distance is a fundamental problem in machine learning, statistics, and computer vision. Despite the recent introduction of several algorithms with good empirical performance, it is unknown ...
Altschuler, Jason   +2 more
core   +1 more source

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

open access: yesFEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source

Fast Contour Matching Using Approximate Earth Mover's Distance [PDF]

open access: yes, 2003
Weighted graph matching is a good way to align a pair of shapes represented by a set of descriptive local features; the set of correspondences produced by the minimum cost of matching features from one shape to the features of the other often reveals how
Darrell, Trevor, Grauman, Kristen
core   +2 more sources

Re‐Awakening Public Attention to the Silent Pandemic of Cancer Among Older Adults in Low‐ and Middle‐Income Countries

open access: yesAging and Cancer, EarlyView.
ABSTRACT As global populations age, cancer is increasingly becoming a leading cause of morbidity and mortality among older adults, particularly in low‐ and middle‐income countries (LMICs). Despite accounting for the majority of new cancer cases and deaths, older individuals remain underrepresented in cancer research, clinical guidelines, and health ...
Ibrahim Bidemi Abdullateef   +2 more
wiley   +1 more source

FGFF Descriptor and Modified Hu Moment-Based Hand Gesture Recognition

open access: yesSensors, 2021
Gesture recognition has been studied for decades and still remains an open problem. One important reason is that the features representing those gestures are not sufficient, which may lead to poor performance and weak robustness.
Beiwei Zhang   +3 more
doaj   +1 more source

DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
DeepEMD V2, accepted by ...
Chi Zhang   +3 more
openaire   +3 more sources

Adult‐Onset Subacute Sclerosing Panencephalitis Presenting With Subacute Cognitive Deficits

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We describe the case of a 41‐year‐old man diagnosed with adult‐onset subacute sclerosing panencephalitis (SSPE). The patient presented with subacute progressive cognitive deficits and a neuropsychological profile indicating predominant frontoparietal dysfunction. MRI showed only mild parietal‐predominant cerebral atrophy.
Dennis Yeow   +4 more
wiley   +1 more source

Meningovascular Inflammation in Cerebral Amyloid Angiopathy‐Related Cortical Superficial Siderosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The role of inflammation in cortical superficial siderosis (cSS), a marker of cerebral amyloid angiopathy (CAA) linked to high hemorrhage risk, is unclear. We examined 15 patients with cSS using 3 T post‐contrast vessel wall MRI (VWI) and CSF analysis.
Philipp Arndt   +8 more
wiley   +1 more source

COMPUTATION OF IMAGE SIMILARITY WITH TIME SERIES [PDF]

open access: yesICTACT Journal on Image and Video Processing, 2011
Searching for similar sequence in large database is an important task in temporal data mining. Similarity search is concerned with efficiently locating subsequences or whole sequences in large archives of sequences.
V. Balamurugan   +2 more
doaj  

Learning and Applying a Function Over Distributions

open access: yesIEEE Access, 2020
We present a method for learning a function over distributions. The method is based on generalizing nonparametric kernel regression by using the earth mover's distance as a metric for distribution space.
Glenn Healey, Shiyuan Zhao
doaj   +1 more source

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