Results 31 to 40 of about 156,643 (272)
In order to overcome the disadvantages of convolution neural network (CNN) in the current hyperspectral image (HSI) classification/segmentation methods, such as the inability to recognize the rotation of spatial objects, the difficulty to capture the ...
Le Sun +4 more
doaj +1 more source
Capsule Routing for Sound Event Detection [PDF]
The detection of acoustic scenes is a challenging problem in which environmental sound events must be detected from a given audio signal. This includes classifying the events as well as estimating their onset and offset times.
bahdanau +14 more
core +2 more sources
DE-CapsNet: A Diverse Enhanced Capsule Network with Disperse Dynamic Routing
Capsule Network (CapsNet) is a methodology with good prospects in visual tasks, since it can keep a stronger relationship of spatial information than Convolutional Neural Networks (CNNs). However, the current Capsule Network do not provide performance as
Bohan Jia, Qiyu Huang
doaj +1 more source
MIRN: A multi-interest retrieval network with sequence-to-interest EM routing.
Vector-based retrieval have been widely adopted to process online users' diverse interests for recommendations. However, most of them utilize a single vector to represent user multiple interests (UMI), inevitably impairing the accuracy and diversity of ...
Xiliang Zhang +5 more
doaj +1 more source
Introduction: Capsule endoscopy has revolutionized the management of patients with obscure gastrointestinal bleeding. Nevertheless, reading capsule endoscopy images is time-consuming and prone to overlooking significant lesions, thus limiting its ...
Miguel Mascarenhas Saraiva +8 more
doaj +1 more source
Tissue compatibility of poly(hydroxypropylglutamate)-prazosin conjugates [PDF]
Biocompatibility of an injectable biodegradable drug delivery system for prazosin was investigated in Sprague-Dawley rats by histological studies after subcutaneous injection ofpoly(hydroxypropyl glutamate)-prazosin (PHPG-prazosin) conjugate particles ...
Anderson, James M. +4 more
core +2 more sources
Capsule Networks as Generative Models
Accepted at the 3rd International Workshop on Active Inference, 19th Sept 2022, Grenoble; This version: added reference, corrected typographical error; final submitted ...
Kiefer, Alex B. +3 more
openaire +2 more sources
Offline Signature Identification and Verification Based on Capsule Representations
Offline signature is one of the frequently used biometric traits in daily life and yet skilled forgeries are posing a great challenge for offline signature verification. To differentiate forgeries, a variety of research has been conducted on hand-crafted
Gumusbas Dilara, Yildirim Tulay
doaj +1 more source
Cv-CapsNet: Complex-Valued Capsule Network
Capsule network (CapsNet) can recognize the objects by encoding the part-whole relationships in a way similar to our human perceptual system and has already shown its great potential in image classification tasks.
Xinming Cheng +3 more
doaj +1 more source
As scalar neurons of traditional neural networks promote dimension reduction caused by pooling, it is a difficult task to extract the high-dimensional spatial features and long-term correlation of pure signals from the noisy vibration signal.
Youming Wang, Gongqing Cao, Jiali Han
doaj +1 more source

