Salient Object Detection Integrating Both Background and Foreground Information Based on Manifold Preserving
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2936915
Abstract: Graph-based two-stage algorithms have widely developed and achieved good performance to detect salient objects. For these algorithms, choosing the proper seeds using for saliency propagation is quite crucial and difficult. In this paper, we consider… read more here.
Keywords: background; salient object; manifold preserving; background foreground ... See more keywords
Deep Manifold Preserving Autoencoder for Classifying Breast Cancer Histopathological Images
Sign Up to like & getrecommendations! Published in 2020 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2018.2858763
Abstract: Classifying breast cancer histopathological images automatically is an important task in computer assisted pathology analysis. However, extracting informative and non-redundant features for histopathological image classification is challenging due to the appearance variability caused by the… read more here.
Keywords: manifold preserving; breast cancer; breast; deep manifold ... See more keywords
Manifold-Preserving Sparse Graph-Based Ensemble FDA for Industrial Label-Noise Fault Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2019.2930157
Abstract: For the fault classification of chemical industries, the typical Fisher discriminant analysis (FDA) model requires that all the training samples should be correctly labeled. Actually, training samples tend to be polluted by mislabeled samples for… read more here.
Keywords: fault classification; manifold preserving; training samples; label noise ... See more keywords