Results 41 to 50 of about 57,862 (263)

Few-Shot Fine-Grained Image Classification: A Comprehensive Review

AI
Few-shot fine-grained image classification (FSFGIC) methods refer to the classification of images (e.g., birds, flowers, and airplanes) belonging to different subclasses of the same species by a small number of labeled samples.
Jie Ren, Changmiao Li, Yaohui An, Weichuan Zhang, Changming Sun   +4 more
doaj   +1 more source

Random Feature Representation Boosting

CoRR
We introduce Random Feature Representation Boosting (RFRBoost), a novel method for constructing deep residual random feature neural networks (RFNNs) using boosting theory. RFRBoost uses random features at each layer to learn the functional gradient of the network representation, enhancing performance while preserving the convex optimization benefits of
Nikita Zozoulenko, Thomas Cass, Lukas Gonon   +2 more
openaire   +5 more sources

FEATURE SELECTION APPLIED TO THE TIME-FREQUENCY REPRESENTATION OF MUSCLE NEAR-INFRARED SPECTROSCOPY (NIRS) SIGNALS: CHARACTERIZATION OF DIABETIC OXYGENATION PATTERNS [PDF]

, 2012
Diabetic patients might present peripheral microcirculation impairment and might benefit from physical training. Thirty-nine diabetic patients underwent the monitoring of the tibialis anterior muscle oxygenation during a series of voluntary ankle flexo ...
Balestra, Gabriella, Molinari, Filippo, Samanta Rosati, ROSATI, SAMANTA   +3 more
core   +1 more source

A Multisource Image Matching Method Based on Contrastive Network With Similarity Weighting

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Multisource remote sensing (MRS) image matching can provide more accurate data support for a variety of remote sensing tasks, but the disparities in imaging characteristics among different sensors bring significant challenges for effective image matching.
Zhen Han, Ning Lv, Tao Su, Yoong Choon Chang, Chen Chen   +4 more
doaj   +1 more source

Informative Census Transform for Very Low-Resolution Image Representation [PDF]

, 2014
Our paper newly presents unsupervised feature representation method for very low-resolution (VLR) images called informative census transform (ICT) based on statistical analysis of CT binary features and submodular optimization.
Chong, Nak Young, Hosun Lee, Sungmoon Jeong, Lee, Hosun, Jeong, Sungmoon, Nak Young Chong   +5 more
core   +1 more source

GPSR: Gradient-Prior-Based Network for Image Super-Resolution

Applied Sciences, 2023
Recent deep learning has shown great potential in super-resolution (SR) tasks. However, most deep learning-based SR networks are optimized via pixel-level loss (i.e., L1, L2, and MSE), which forces the networks to output the average of all possible ...
Xiancheng Zhu, Detian Huang, Xiaorui Li, Danlin Cai, Daxin Zhu   +4 more
doaj   +1 more source

Auto-Encoding Generative Adversarial Networks towards Mode Collapse Reduction and Feature Representation Enhancement

Entropy, 2023
Generative Adversarial Nets (GANs) are a kind of transformative deep learning framework that has been frequently applied to a large variety of applications related to the processing of images, video, speech, and text.
Yang Zou, Yuxuan Wang, Xiaoxiang Lu
doaj   +1 more source

Health‐Related Quality of Life and Symptom Severity Among Patients With PIK3CA‐Related Overgrowth Spectrum: A Mixed‐Methods Study to Understand Real‐World Experience With Alpelisib Treatment

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, Kaitlin LaGasse, Cory D. Saucier, Kimberly Raymond, Miranda Lauher‐Charest, Lauren Crowder, Beilei Cai, Mary Lisha Paul, Denise Adams   +8 more
wiley   +1 more source

RST-YOLOv8: An Improved Chip Surface Defect Detection Model Based on YOLOv8

Sensors
Surface defect detection in chips is crucial for ensuring product quality and reliability. This paper addresses the challenge of low identification accuracy in chip surface defect detection, which arises from the similarity of defect characteristics ...
Wenjie Tang, Yangjun Deng, Xu Luo
doaj   +1 more source

Clinical and Biological Features of Response in Resistant Neuroblastoma to 131I‐Metaiodobenzylguanidine Radiotherapy in the Anti‐GD2 Immunotherapy Era

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman, Katherine K. Matthay, Fabienne Hollinger, Catriona Black, Ann A. Lazar, Miguel Pampaloni, Steven G. DuBois, Kieuhoa T. Vo   +7 more
wiley   +1 more source