Results 41 to 50 of about 485,564 (300)
Using Decoupled Features for Photorealistic Style Transfer
SIAM Journal on Imaging Sciences, 2023 In this work we propose a photorealistic style transfer method for image and video that is based on vision science principles and on a recent mathematical formulation for the deterministic decoupling of sample statistics. The novel aspects of our approach include matching decoupled moments of higher order than in common style transfer approaches, and ...
Trevor D. Canham +3 more
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Abstract Feature Space Representation for Volumetric Transfer Function Exploration [PDF]
, 2011 The application of n-dimensional transfer functions for feature segmentation has become increasingly popular in volume rendering. Recent work has focused on the utilization of higher order dimensional transfer functions incorporating spatial dimensions ...
Ebert, David S. +3 more
core +1 more source
Deep transfer network of heterogeneous domain feature in machine translation
High-Confidence Computing, 2022 In order to address the shortcoming of feature representation limitation in machine translation(MT) system, this paper presents a feature transfer method in MT.
Yupeng Liu, Yanan Zhang, Xiaochen Zhang
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Frontiers in Human Neuroscience, 2022 Transfer learning can improve the robustness of deep learning in the case of small samples. However, when the semantic difference between the source domain data and the target domain data is large, transfer learning easily introduces redundant features ...
Yehang Chen, Yehang Chen, Xiangmeng Chen
doaj +1 more source
Transfer with Model Features in Reinforcement Learning
CoRR, 2018 A key question in Reinforcement Learning is which representation an agent can learn to efficiently reuse knowledge between different tasks. Recently the Successor Representation was shown to have empirical benefits for transferring knowledge between tasks with shared transition dynamics. This paper presents Model Features: a feature representation that
Lucas Lehnert, Michael L. Littman
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Primary cutaneous anaplastic large cell lymphoma (pcALCL) is a rare pediatric CD30‐positive T‐cell lymphoproliferative disorder with an excellent prognosis, but its genomic drivers are poorly defined. We report three children with skin‐limited disease demonstrating striking molecular heterogeneity, including NPM::ALK, NUP214::FRK, and a novel ...
Shoshana Greenberger +7 more
wiley +1 more source
Good Practice in CNN Feature Transfer
CoRR, 2016 9 pages.
Liang Zheng 0001 +4 more
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Arbitrary Style Transfer with Deep Feature Reshuffle [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 This paper introduces a novel method by reshuffling deep features (i.e., permuting the spacial locations of a feature map) of the style image for arbitrary style transfer. We theoretically prove that our new style loss based on reshuffle connects both global and local style losses respectively used by most parametric and non-parametric neural style ...
Shuyang Gu +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, with an overall survival now surpassing 90% in developed countries. However, treatments are not without adverse effects. In this study, we apply the severe toxicity‐free survival (STFS) framework to determine the prevalence of 21 physician‐defined severe ...
Lane Collier +10 more
wiley +1 more source
Feature extraction via heat flow analogy [PDF]
, 2009 Feature extraction is an important field of image processing and computer vision. Features can be classified as low-level and high-level. Low-level features do not give shape information of the objects, where the popular low-level feature ...
Direkoğlu, Cem
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