The theoretical developments of data -driven fault diagnosis methods have yielded fruitful
achievements and significantly benefited industry practices. However, most methods are …

Conductive polymer hydrogels are emerging as an advanced electronic platform for sensors
by synergizing the advantageous features of soft materials and organic conductors. Doping …

WC-Co alloys have enjoyed great practical significance owing to their excellent properties
during the past decades. Despite the advantages, however, recently there have been …

We introduce a system for near-duplicate detection and sub-image retrieval. Such a system
is useful for finding copyright violations and detecting forged images. We define near-…

We propose a principled method for designing high level features forphoto quality assessment.
Our resulting system can classify between high quality professional photos and low …

Labeled medical imaging data is scarce and expensive to generate. To achieve generalizable
deep learning models large amounts of data are needed. Standard data augmentation is …

Stable local feature detection and representation is a fundamental component of many
image registration and object recognition algorithms. Mikolajczyk and Schmid (June 2003) …

Extracting, harvesting, and building large-scale annotated radiological image datasets is a
greatly important yet challenging problem. Meanwhile, vast amounts of clinical annotations …

Support vector machine recursive feature elimination (SVM-RFE) is a powerful feature selection
algorithm. However, when the candidate feature set contains highly correlated features, …

This paper studies the use of volumetric features as an alternative to popular local descriptor
approaches for event detection in video sequences. Motivated by the recent success of …