Results 41 to 50 of about 1,931,799 (283)
Fitting 3D Morphable Models using Local Features [PDF]
In this paper, we propose a novel fitting method that uses local image features to fit a 3D Morphable Model to 2D images. To overcome the obstacle of optimising a cost function that contains a non-differentiable feature extraction operator, we use a ...
Christmas, William +4 more
core +2 more sources
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Remote Sensing Image Retrieval Combining Global Features and Correlation-Based Local Features
Remote sensing image retrieval remains challenging due to cluttered backgrounds, large intra-class variations, high inter-class similarity, small object sizes, and inconsistent scales.
Lili Li, Annan Zhou, Jian Yao
doaj +1 more source
Model-based learning of local image features for unsupervised texture segmentation
Features that capture well the textural patterns of a certain class of images are crucial for the performance of texture segmentation methods. The manual selection of features or designing new ones can be a tedious task.
Kiechle, Martin +3 more
core +1 more source
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie +4 more
wiley +1 more source
Without detection: Two‐step clustering features with local–global attention for image captioning
The current image captioning methods usually integrate an object detection network to obtain image features at the level of objects and other salient regions. However, the detection network needs to be independently pre‐trained on additional data.
Xuan Li, Wenkai Zhang, Xian Sun, Xin Gao
doaj +1 more source
Image Reconstruction from Bag-of-Visual-Words
The objective of this work is to reconstruct an original image from Bag-of-Visual-Words (BoVW). Image reconstruction from features can be a means of identifying the characteristics of features.
Harada, Tatsuya, Kato, Hiroharu
core +1 more source
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation [PDF]
We propose a structured prediction architecture, which exploits the local generic features extracted by Convolutional Neural Networks and the capacity of Recurrent Neural Networks (RNN) to retrieve distant dependencies.
Bengio, Yoshua +7 more
core +2 more sources
Clinical Insights Into Hypercalcemia of Malignancy in Childhood
ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
wiley +1 more source
Discovery of Federal Income Tax Returns and the New “Qualified” Privileges [PDF]
The notion of scale selection refers to methods for estimating characteristic scales in image data and for automatically determining locally appropriate scales in a scale-space representation, so as to adapt subsequent processing to the local image ...
Edmundson, William A.
core +2 more sources

