A5102022056- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Recommender Systems and Techniques
- Data Management and Algorithms
- Video Analysis and Summarization
- Remote-Sensing Image Classification
- Stroke Rehabilitation and Recovery
- Medical Image Segmentation Techniques
- Photoreceptor and optogenetics research
- Image and Video Quality Assessment
- Music and Audio Processing
- Text and Document Classification Technologies
- Intestinal Malrotation and Obstruction Disorders
- Sparse and Compressive Sensing Techniques
- Advanced Clustering Algorithms Research
- Complex Network Analysis Techniques
- Expert finding and Q&A systems
- Transcranial Magnetic Stimulation Studies
- Machine Learning and Algorithms
- Machine Learning and Data Classification
- Pediatric Hepatobiliary Diseases and Treatments
- Neuroscience and Neural Engineering
- Neural dynamics and brain function
- Action Observation and Synchronization
Zhejiang University
2011-2025
National Clinical Research
2025
Ningbo University of Technology
2013
Collaborative filtering (CF) is one of the most successful recommendation approaches. It typically associates a user with group like-minded users based on their preferences over all items, and recommends to those items enjoyed by others in group. However we find that two similar tastes item subset may have totally different another set. In other words, there exist many user-item subgroups each consisting these items. more natural make preference predictions for via correlated than entire...
Manifold Ranking (MR), a graph-based ranking algorithm, has been widely applied in information retrieval and shown to have excellent performance feasibility on variety of data types. Particularly, it successfully content-based image retrieval, because its outstanding ability discover underlying geometrical structure the given database. However, manifold is computationally very expensive, both graph construction computation stages, which significantly limits applicability large sets. In this...
Graph-based ranking models have been widely applied in information retrieval area. In this paper, we focus on a well known graph-based model - the Ranking Data Manifold model, or (MR). Particularly, it has successfully to content-based image retrieval, because of its outstanding ability discover underlying geometrical structure given database. However, manifold is computationally very expensive, which significantly limits applicability large databases especially for cases that queries are...
We have developed INS-fMRI as a rapid and high-resolution method for mapping functional brain networks in vivo.
Collaborative filtering (CF) is out of question the most widely adopted and successful recommendation approach. A typical CF-based recommender system associates a user with group like-minded users based on their individual preferences over all items, either explicit or implicit, then recommends to some unobserved items enjoyed by group. However, we find that two similar tastes one item subset may have totally different another set. In other words, there exist many user-item subgroups each...
<title>Abstract</title> It is still challenging to diagnose biliary atresia (BA) in current clinical practice. The study aimed develop a multimodal model incorporated with uncertainty estimation by integrating sonographic images and information help BA. Multiple models were trained on 384 infants validated externally 156 infants. fused yielded best performance, an area under the curve (AUC) of 0.941 (95% CI: 0.891–0.972) external dataset. Moreover, based video AUC 0.930 (0.876–0.966). By...
There are various kinds of social media information, including different types objects and relations among these objects, in music communities such as Last.fm Pandora. This information is valuable for recommendation. However, there two main challenges to exploit this rich information: (a) many communities, which makes it difficult develop a unified framework taking into account all relations. (b) In some much more sophisticated than pairwise relation, thus cannot be simply modeled by graph....
Recently, the task of unsupervised face-name association has received a considerable interests in multimedia and information retrieval communities. It is quite different with generic facial image annotation problem because its ambiguous assignment properties. Specifically, should obey following three constraints: (1) face can only be assigned to name appearing associated caption or null; (2) at most one face; (3) name. Many conventional methods have been proposed tackle this while suffering...
Recently, graph-based ranking algorithms have received considerable interests in machine learning, computer vision and information retrieval communities. Ranking on data manifold (or ranking, MR) is one of the representative approaches. One limitations its high computational complexity (O(n3), where n number samples database). In this paper, we cast into a Bregman divergence optimization framework under which transform original MR to an equivalent optimal kernel matrix learning problem.With...