Wireless RSSI fingerprinting localization
Localization has attracted a lot of research effort in the last decade due to the explosion of
location based service (LBS). In particular, wireless fingerprinting localization has received …
location based service (LBS). In particular, wireless fingerprinting localization has received …
Multimodal transformer with multi-view visual representation for image captioning
Image captioning aims to automatically generate a natural language description of a given
image, and most state-of-the-art models have adopted an encoder-decoder framework. The …
image, and most state-of-the-art models have adopted an encoder-decoder framework. The …
Multi-view low-rank sparse subspace clustering
Most existing approaches address multi-view subspace clustering problem by constructing
the affinity matrix on each view separately and afterwards propose how to extend spectral …
the affinity matrix on each view separately and afterwards propose how to extend spectral …
Learning to rank using user clicks and visual features for image retrieval
The inconsistency between textual features and visual contents can cause poor image
search results. To solve this problem, click features, which are more reliable than textual …
search results. To solve this problem, click features, which are more reliable than textual …
Discriminative reconstruction constrained generative adversarial network for hyperspectral anomaly detection
The rich and distinguishable spectral information in hyperspectral images (HSIs) makes it
possible to capture anomalous samples [ie, anomaly detection (AD)] that deviate from …
possible to capture anomalous samples [ie, anomaly detection (AD)] that deviate from …
Satellite and scene image classification based on transfer learning and fine tuning of ResNet50
Image classification has gained lot of attention due to its application in different computer
vision tasks such as remote sensing, scene analysis, surveillance, object detection, and …
vision tasks such as remote sensing, scene analysis, surveillance, object detection, and …
DeepFish: Accurate underwater live fish recognition with a deep architecture
Underwater object recognition is in great demand, while the research is far from enough.
The unrestricted natural environment makes it a challenging task. We propose a framework …
The unrestricted natural environment makes it a challenging task. We propose a framework …
Ultrasonic signal classification and imaging system for composite materials via deep convolutional neural networks
M Meng, YJ Chua, E Wouterson, CPK Ong - Neurocomputing, 2017 - Elsevier
Automated ultrasonic signal classification systems are finding increasing use in many
applications for the recognition of large volumes of inspection signals. Wavelet transform is a …
applications for the recognition of large volumes of inspection signals. Wavelet transform is a …
Ensemble learning for hyperspectral image classification using tangent collaborative representation
H Su, Y Yu, Q Du, P Du - IEEE Transactions on Geoscience and …, 2020 - ieeexplore.ieee.org
Recently, collaborative representation classification (CRC) has attracted much attention for
hyperspectral image analysis. In particular, tangent space CRC (TCRC) has achieved …
hyperspectral image analysis. In particular, tangent space CRC (TCRC) has achieved …
Scene classification using local and global features with collaborative representation fusion
This paper presents an effective scene classification approach based on collaborative
representation fusion of local and global spatial features. First, a visual word codebook is …
representation fusion of local and global spatial features. First, a visual word codebook is …