AIDMAN: An AI-based object detection system for malaria diagnosis from smartphone thin-blood-smear images
Malaria is a significant public health concern, with∼ 95% of cases occurring in Africa, but
accurate and timely diagnosis is problematic in remote and low-income areas. Here, we …
accurate and timely diagnosis is problematic in remote and low-income areas. Here, we …
Feature extraction for incomplete data via low-rank tensor decomposition with feature regularization
Multidimensional data (ie, tensors) with missing entries are common in practice. Extracting
features from incomplete tensors is an important yet challenging problem in many fields …
features from incomplete tensors is an important yet challenging problem in many fields …
Improving night-time pedestrian retrieval with distribution alignment and contextual distance
Night-time pedestrian retrieval is a cross-modality retrieval task of retrieving person images
between day-time visible images and night-time thermal images. It is a very challenging …
between day-time visible images and night-time thermal images. It is a very challenging …
Tensorial multiview representation for saliency detection via nonconvex approach
X Sun, X Zhang, C Xu, M Xiao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In the study of salient object detection, multiview features play an important role in identifying
various underlying salient objects. As to current common patch-based methods, all different …
various underlying salient objects. As to current common patch-based methods, all different …
Synergistic generic learning for face recognition from a contaminated single sample per person
Single sample per person face recognition (SSPP FR), ie, identifying a person (ie, data
subject) with a single face image only for training, has several attractive potential …
subject) with a single face image only for training, has several attractive potential …
Joint sparse principal component regression with robust property
Standard principal component regression (PCR) selects principal components without any
considerations of response variable. Therefore, standard PCR cannot produce a sufficiently …
considerations of response variable. Therefore, standard PCR cannot produce a sufficiently …
Kronecker-decomposable robust probabilistic tensor discriminant analysis
As a generative model, probabilistic linear discriminant analysis (PLDA) has achieved good
performance in supervised learning tasks. The model incorporates both within-individual …
performance in supervised learning tasks. The model incorporates both within-individual …