Fine-grained visual classification (FGVC) involves categorizing fine
sub...
Part feature learning is a critical technology for finegrained semantic
...
How to effectively explore the colors of reference exemplars and propaga...
Vision-based pattern identification (such as face, fingerprint, iris etc...
Case-hindering, multi-year digital forensic evidence backlogs have becom...
Multi-year digital forensic backlogs have become commonplace in law
enfo...
The ever increasing volume of data in digital forensic investigation is ...
As the core of recommender system, collaborative filtering (CF) models t...
Matrix factorization (MF) has been widely used to discover the low-rank
...
With the prevalence of multimedia content on the Web, developing recomme...
In this work, we contribute a new multi-layer neural network architectur...
Item recommendation is a personalized ranking task. To this end, many
re...