5 citations · 9 across the 6 of their papers we have counts for
7 papers
Concept and Attribute Reduction Based on Rectangle Theory of Formal Concept
Jianqin Zhou, Sichun Yang, Xifeng Wang +1
Based on rectangle theory of formal concept and set covering theory, the concept reduction preserving binary relations is investigated in this paper. It is known that there are thr…
A New Algorithm based on Extent Bit-array for Computing Formal Concepts
Jianqin Zhou, Sichun Yang, Xifeng Wang +1
The emergence of Formal Concept Analysis (FCA) as a data analysis technique has increased the need for developing algorithms which can compute formal concepts quickly. The current…
iffDetector: Inference-aware Feature Filtering for Object Detection
Mingyuan Mao, Yuxin Tian, Baochang Zhang +4
Modern CNN-based object detectors focus on feature configuration during training but often ignore feature optimization during inference. In this paper, we propose a new feature opt…
Regularizing Semi-supervised Graph Convolutional Networks with a Manifold Smoothness Loss
Qilin Li, Wanquan Liu, Ling Li
Existing graph convolutional networks focus on the neighborhood aggregation scheme. When applied to semi-supervised learning, they often suffer from the overfitting problem as the…
The Chan-Vese Model with Elastica and Landmark Constraints for Image Segmentation
Jintao Song, Huizhu Pan, Wuanquan Liu +2
In order to completely separate objects with large sections of occluded boundaries in an image, we devise a new variational level set model for image segmentation combining the Cha…
A Novel Euler's Elastica based Segmentation Approach for Noisy Images via using the Progressive Hedging Algorithm
Lu Tan, Ling Li, Wanquan Liu +2
Euler's Elastica based unsupervised segmentation models have strong capability of completing the missing boundaries for existing objects in a clean image, but they are not working…