[HTML][HTML] A survey on deep learning-driven remote sensing image scene understanding: Scene classification, scene retrieval and scene-guided object detection
As a fundamental and important task in remote sensing, remote sensing image scene
understanding (RSISU) has attracted tremendous research interest in recent years. RSISU …
understanding (RSISU) has attracted tremendous research interest in recent years. RSISU …
A survey on representation-based classification and detection in hyperspectral remote sensing imagery
This paper reviews the state-of-the-art representation-based classification and detection
approaches for hyperspectral remote sensing imagery, including sparse representation …
approaches for hyperspectral remote sensing imagery, including sparse representation …
Deep dictionary learning
Two popular representation learning paradigms are dictionary learning and deep learning.
While dictionary learning focuses on learning “basis” and “features” by matrix factorization …
While dictionary learning focuses on learning “basis” and “features” by matrix factorization …
[图书][B] Dictionary learning algorithms and applications
B Dumitrescu, P Irofti - 2018 - Springer
This book revolves around the question of designing a matrix D∈ Rm× n called dictionary,
such that to obtain good sparse representations y≈ Dx for a class of signals y∈ Rm given …
such that to obtain good sparse representations y≈ Dx for a class of signals y∈ Rm given …
Automatic epileptic seizure detection via Stein kernel-based sparse representation
Epileptic seizure detection is of great significance in the diagnosis of epilepsy and relieving
the heavy workload of visual inspection of electroencephalogram (EEG) recordings. This …
the heavy workload of visual inspection of electroencephalogram (EEG) recordings. This …
[HTML][HTML] Automatic detection and recognition of pig wasting diseases using sound data in audio surveillance systems
Automatic detection of pig wasting diseases is an important issue in the management of
group-housed pigs. Further, respiratory diseases are one of the main causes of mortality …
group-housed pigs. Further, respiratory diseases are one of the main causes of mortality …
Integrating conventional and inverse representation for face recognition
Representation-based classification methods are all constructed on the basis of the
conventional representation, which first expresses the test sample as a linear combination of …
conventional representation, which first expresses the test sample as a linear combination of …
Multi-view kernel sparse representation for identification of membrane protein types
Membrane proteins are the main undertaker of biomembrane functions and play a vital role
in many biological activities of organisms. Prediction of membrane protein types has a great …
in many biological activities of organisms. Prediction of membrane protein types has a great …
Random Subspace-Based k-Nearest Class Collaborative Representation for Hyperspectral Image Classification
Recently, collaborative representation classification (CRC) has attracted extensive interest
for hyperspectral images (HSIs) classification. However, for collaborative representation with …
for hyperspectral images (HSIs) classification. However, for collaborative representation with …