activity
20162021
most citedDiscriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders

16 citations · 17 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG20211 cited

A Minimax Probability Machine for Non-Decomposable Performance Measures

Junru Luo, Hong Qiao, Bo Zhang

Imbalanced classification tasks are widespread in many real-world applications. For such classification tasks, in comparison with the accuracy rate, it is usually much more appropr…

cs.LG2021

Learning with Smooth Hinge Losses

JunRu Luo, Hong Qiao, Bo Zhang

Due to the non-smoothness of the Hinge loss in SVM, it is difficult to obtain a faster convergence rate with modern optimization algorithms. In this paper, we introduce two smooth…

cs.CV201716 cited

Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders

Fengfu Li, Hong Qiao, Bo Zhang +1

Traditional image clustering methods take a two-step approach, feature learning and clustering, sequentially. However, recent research results demonstrated that combining the separ…

cs.CV2016

A New Manifold Distance Measure for Visual Object Categorization

Fengfu Li, Xiayuan Huang, Hong Qiao +1

Manifold distances are very effective tools for visual object recognition. However, most of the traditional manifold distances between images are based on the pixel-level compariso…

cs.CV2016

A Novel Biologically Mechanism-Based Visual Cognition Model--Automatic Extraction of Semantics, Formation of Integrated Concepts and Re-selection Features for Ambiguity

Peijie Yin, Hong Qiao, Wei Wu +4

Integration between biology and information science benefits both fields. Many related models have been proposed, such as computational visual cognition models, computational motor…