Results 41 to 50 of about 2,182,891 (278)
Sparse Representation-based Image Quality Assessment
A successful approach to image quality assessment involves comparing the structural information between a distorted and its reference image. However, extracting structural information that is perceptually important to our visual system is a challenging ...
Guha, Tanaya +2 more
core +1 more source
Representing and retrieving regions using binary partition trees [PDF]
This paper discusses the interest of Binary Partition Trees for image and region representation in the context of indexing and similarity based retrieval.
Casas Pla, Josep Ramon +2 more
core +1 more source
Fast high-resolution imaging method for wide-band rotating targets
To reduce the computation burden of inverse synthetic aperture radar on rotating targets imaging, a fast distributed simultaneous multiple orthogonal matching pursuit method is proposed in this study.
Hu Xiang +4 more
doaj +1 more source
Twisted Alexander Polynomials and Representation Shifts
For any knot, the following are equivalent. (1) The infinite cyclic cover has uncountably many finite covers; (2) there exists a finite-image representation of the knot group for which the twisted Alexander polynomial vanishes; (3) the knot group admits ...
Silver, Daniel S., Williams, Susan G.
core +1 more source
RBM-based joint dictionary learning for ISAR resolution enhancement
In this study, an inverse synthetic aperture radar (ISAR) image resolution enhancement algorithm based on joint dictionary learning is proposed, by which two special sets of sparse signals called dictionaries are solved by exploiting numerous high ...
Jiaqi Ye +3 more
doaj +1 more source
Structured Knowledge Representation for Image Retrieval
We propose a structured approach to the problem of retrieval of images by content and present a description logic that has been devised for the semantic indexing and retrieval of images containing complex objects.
Di Sciascio, E. +2 more
core +1 more source
Action recognition using vague division DMMs
This study presents a novel human action recognition method based on the sequences of depth maps, which provide additional body shape and motion information for action recognition.
Ke Jin +4 more
doaj +1 more source
Multimodal Convolutional Neural Networks for Matching Image and Sentence
In this paper, we propose multimodal convolutional neural networks (m-CNNs) for matching image and sentence. Our m-CNN provides an end-to-end framework with convolutional architectures to exploit image representation, word composition, and the matching ...
Li, Hang +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
Improving Wearable-Based Activity Recognition Using Image Representations
Activity recognition based on inertial sensors is an essential task in mobile and ubiquitous computing. To date, the best performing approaches in this task are based on deep learning models.
Alejandro Sanchez Guinea +2 more
doaj +1 more source

