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Koga Lab
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The lab studies algorithms for quickly finding similar items in large amounts of data.
AboutAbout the lab
Computing data similarity quickly
The Koga Lab studies algorithms for finding similar items in large amounts of data, and their application to image and video processing.
The lab works on new representation schemes for patterns, methods for rapidly computing the similarity between data, and probabilistic algorithms such as LSH and Min-Hash.
Recent publications include papers on similarity search and clustering for time-series data and data streams.
Key terms
- Similarity search
- The process of finding, among a large amount of data, items that are similar to a queried item.
- LSH
- A probabilistic algorithm for similarity search (locality-sensitive hashing).
- PRDC
- A feature representation scheme for patterns that focuses on how compressible data is.
ResearchResearch themes
The Koga Lab centers its research on algorithms for quickly finding similar data and for grouping data. These algorithms are applied to the processing of images, video, and similar data.
*Illustrative imageAlgorithms for faster similarity computation
The lab studies PRDC, a pattern representation scheme that focuses on how compressible data is. It also works on fast computation of similarity between graphs, and on the probabilistic algorithms LSH and Min-Hash.
*Illustrative imageApplying the algorithms to images and video
The lab applies similarity search algorithms and methods that make use of data compression to the analysis of still images and video.
MembersFaculty
The members of the Koga Lab are faculty, master's students, and undergraduate students.As of 2026
- Associate ProfessorHisashi Koga
- Assistant ProfessorZhenjiang Zhao
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Orange-data-mining-hierarchical-clustering” Blaž Zupan (Orange Data Mining) / CC BY-SA 4.0 (cropped)
- Algorithms for faster similarity computation: “Stoppuhr hanhart” Stefan (Diskussion). Original uploader was StefanPohl at German Wikipedia / Public domain (cropped)
- Applying the algorithms to images and video: “A close-up of the cameras and sensors of a Remote Video Surveillance System (RVSS) in Nogales, AZ (2)” EFF / CC BY 3.0 (cropped)
- Related lab (伊藤 大雄・三重野 琢也 研究室): “Set of various puzzles” Lpele / CC BY-SA 4.0 (cropped)
- Related lab (武永 康彦 研究室): “Algorithm Tarjan” No machine-readable author provided. GifTagger assumed (based on copyright claims). / CC BY-SA 3.0 (cropped)
- Related lab (織田 健 研究室): “TestingCup-Polish-Championship-in-Software-Testing-Katowice-2016” Radosław Smilgin / CC BY-SA 3.0 (cropped)
- Related lab (岩﨑 敦 研究室): “Otago Farmers Market main carpark stalls 13 Dec 2025” DrThneed / CC BY 4.0 (cropped)
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