What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Computer vision
Mingjing Li mainly investigates Artificial intelligence, Information retrieval, Image retrieval, Relevance feedback and Pattern recognition.
His Artificial intelligence study frequently links to other fields, such as Computer vision.
His work deals with themes such as Web image, The Internet and Multimedia, which intersect with Information retrieval.
His Image retrieval research is multidisciplinary, incorporating elements of Image processing and Data mining.
His work carried out in the field of Image processing brings together such families of science as Object, Machine learning, Support vector machine and Image segmentation.
His studies deal with areas such as Bigram, Real image, Digital image and Random field as well as Pattern recognition.
His most cited work include:
- A user attention model for video summarization (557 citations)
- Unsupervised extraction of visual attention objects in color images (345 citations)
- Manifold-ranking based image retrieval (339 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Artificial intelligence, Image retrieval, Pattern recognition, Information retrieval and Relevance feedback.
His Artificial intelligence research includes themes of Machine learning and Computer vision.
His Image retrieval study incorporates themes from Annotation and Data mining.
As a part of the same scientific study, Mingjing Li usually deals with the Pattern recognition, concentrating on Feature detection and frequently concerns with Image resolution.
His Information retrieval research includes elements of Web page and The Internet.
His Relevance feedback study combines topics from a wide range of disciplines, such as Active learning, Image segmentation and Cluster analysis.
He most often published in these fields:
- Artificial intelligence (59.62%)
- Image retrieval (45.51%)
- Pattern recognition (37.82%)
What were the highlights of his more recent work (between 2006-2011)?
- Artificial intelligence (59.62%)
- Image retrieval (45.51%)
- Information retrieval (33.33%)
In recent papers he was focusing on the following fields of study:
Mingjing Li spends much of his time researching Artificial intelligence, Image retrieval, Information retrieval, Pattern recognition and Automatic image annotation.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning, Computer vision and Natural language processing.
His Visual Word study in the realm of Image retrieval interacts with subjects such as Graph theory.
His Information retrieval research incorporates themes from Ranking and The Internet.
Pattern recognition is often connected to Image in his work.
Mingjing Li combines subjects such as Annotation and Word with his study of Automatic image annotation.
Between 2006 and 2011, his most popular works were:
- Image annotation via graph learning (184 citations)
- Visual language modeling for image classification (170 citations)
- Dual cross-media relevance model for image annotation (155 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Computer vision
Mingjing Li focuses on Information retrieval, Relevance, Image retrieval, Ranking and Visual Word.
Mingjing Li has researched Information retrieval in several fields, including Web image and The Internet.
Mingjing Li studies Image retrieval, namely Automatic image annotation.
In Automatic image annotation, he works on issues like Annotation, which are connected to Ranking.
His Visual Word study is focused on Artificial intelligence in general.
His Artificial intelligence research is mostly focused on the topic Image processing.
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