J
Jiaqing Qiao
Researcher at Harbin Institute of Technology
Publications - 11
Citations - 88
Jiaqing Qiao is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Computer science & Kernel (image processing). The author has an hindex of 2, co-authored 3 publications receiving 71 citations.
Papers
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Journal ArticleDOI
Sparse representation-based MRI super-resolution reconstruction
TL;DR: A novel dictionary training method for sparse reconstruction for enhancing the similarity of sparse representations between the low resolution and high resolution MRI block pairs through simultaneous training two dictionaries.
Proceedings Article
Optimizing matrix mapping with data dependent kernel for image classification
TL;DR: The method of optimizing matrix mapping with data dependent kernel for feature extraction of the image for classification adaptively optimizes the parameter of kernel for nonlinear mapping.
Journal ArticleDOI
The BH-mixed scheduling algorithm for DAG tasks with constrained deadlines
TL;DR: In this article , a BH-Mixed scheduling algorithm for directed acyclic graph tasks with constrained deadlines is proposed, which combines the strengths of three algorithms: the partitioned algorithm, the federated scheduling algorithm and the GFP algorithm.
Journal ArticleDOI
Kernel common discriminant-based multimodal image sensor data classification
TL;DR: A novel image recognition method of kernel common discriminant based image classification by extending DCV with kernel trick with the space isomorphic mapping view in the kernel feature space and developing a two-phase algorithm of KPCA + DCV.
Journal ArticleDOI
Parallel CNN Network Learning-Based Video Object Recognition for UAV Ground Detection
TL;DR: The novel parallel deep learning network with the ability of the global and local joint feature extraction for the UAV video target detection and a feature refining module is proposed, which can effectively improve the detection performance of the detector for densely arranged targets.