Calculated based on number of publications stored in Pure and citations from Scopus
1987 …2021

Research activity per year

If you made any changes in Pure these will be visible here soon.

Personal profile

University profile

Reinforcement learning and its applications to control and multi-agent systems is where Dr. Jing Peng's doctoral studies originated. In general terms, reinforcement learning is concerned with computational approaches to learning from reward. Here he considers how a learning agent can learn as quickly as possible from limited interaction with other agents and its environment.

Image retrieval, in particular content-based retrieval where he considers indexing schemes that allow flexible retrieval metrics to be created on the fly so that very large databases can be accessed efficiently and accurately.

Classification and data mining, is where he is particularly interested in adaptive metric nearest-neighbor techniques and compact subspace representation for building robust classifiers from limited training data.

Research interests

Classification and Data Mining

Scholarly Interests

Adaptive metric nearest-neighbor techniques and compact subspace representation for building robust classifiers from limited training data.

Fingerprint

Dive into the research topics where Jing Peng is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Network

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or