Results 231 to 240 of about 27,149 (269)

PREDICT‐PD: A Two‐Stage Approach to Early Identification of Parkinson's Disease

Movement Disorders Clinical Practice, EarlyView.
Sasivimol Virameteekul, Sheena Waters, Brook Huxford, Ashvin Kuri, Manuela Tan, Laura Pérez‐Carbonell, Eduardo de Pablo‐Fernández, Anette Schrag, Alastair J. Noyce, Cristina Simonet   +9 more
wiley   +1 more source

Siamese neural networks in recommendation

Neural Computing and Applications, 2023
AbstractRecommender systems are widely adopted as an increasing research and development area, since they provide users with diverse and useful information tailored to their needs. Several strategies have been proposed, and in most of them some concept of similarity is used as a core part of the approach, either between items or between users.
Nicolas Serrano, Alejandro Bellogín
exaly   +3 more sources

Class-balanced siamese neural networks [PDF]

Neurocomputing, 2018
Original siamese neural network objective function.Polar sine-based angular reformulation for cosine dissimilarity learning.Application on a multimodal human action dataset.New evaluations of 3 siamese neural networks using input data pairs, triplets and tuples.Projection space analysis and computation complexity.
Samuel Berlemont, Gregoire Lefebvre, Stefan Duffner   +2 more
exaly   +3 more sources

Some of the next articles are maybe not open access.

Related searches:

Siamese Networks for Chromosome Classification

2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017
Karyotying is the process of pairing and ordering 23 pairs of human chromosomes from cell images on the basis of size, centromere position, and banding pattern. Karyotyping during metaphase is often used by clinical cytogeneticists to analyze human chromosomes for diagnostic purposes.
Swati, Gaurav Gupta, Mohit Yadav, Monika Sharma, Lovekesh Vig   +4 more
openaire   +1 more source

Siamese Ballistics Neural Network

2019 IEEE International Conference on Image Processing (ICIP), 2019
Firearm identification is crucial in many investigative scenario. The crime scene often contains traces left by firearms in terms of bullets and cartridges. Traces analysis is a fundamental step in the Forensics Ballistics Analysis Process to identify which firearm fired a specific cartridge.
Giudice O., Guarnera L., Paratore A. B., Farinella G. M., Battiato S.   +4 more
openaire   +1 more source

Siamese Neural Networks: An Overview

2020
Similarity has always been a key aspect in computer science and statistics. Any time two element vectors are compared, many different similarity approaches can be used, depending on the final goal of the comparison (Euclidean distance, Pearson correlation coefficient, Spearman's rank correlation coefficient, and others). But if the comparison has to be
openaire   +2 more sources

Siamese Network for Salivary Glands Segmentation

2022
International ...
Gabin Fodop, Aurélien Olivier, Clément Hoffmann, Ali Mansour, Sandrine Jousse-Joulin, Luc Bressollette, Benoit Clement   +6 more
openaire   +2 more sources

Siamese Network for Classification with Optimization of AUC

2019
It is known that RankSVM can optimize area under the ROC curve (AUC) for binary classification by maximizing the margin between the positive class and the negative class. Since the objective function of Siamese Network for rank learning is the same as RankSVM, Siamese Network can also optimize AUC for binary classification. This paper proposes a method
Hideki Oki, Jun'ichi Miyao, Takio Kurita
openaire   +1 more source

Siamese Networks: The Tale of Two Manifolds

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019
Siamese networks are non-linear deep models that have found their ways into a broad set of problems in learning theory, thanks to their embedding capabilities. In this paper, we study Siamese networks from a new perspective and question the validity of their training procedure.
Soumava Kumar Roy, Mehrtash Harandi, Richard Nock, Richard I. Hartley   +3 more
openaire   +1 more source