@inproceedings{oai:repo.lib.tut.ac.jp:00001348,
 author = {Mukai, Tomohiko and Wakisaka, Ken-ichi and Kuriyama, Shigeru and 向井, 智彦 and 脇坂, 健一 and 栗山, 繁},
 book = {Proceedings - SCA 2007 : ACM SIGGRAPH / Eurographics Symposium on Computer Animation 2007, Posters and Demos},
 month = {Aug},
 note = {This paper proposes a novel method for automatically classifying
and retrieving motions based on spatio-temporal features of motion
appearance. Our method first converts a motion data into a form of
clausal language that represents geometrical relations between human
body parts and their temporal relations. A classification rule is then learned from the minimal set of manually classified examples using inductive logic programming. We introduce a two-step search algorithm to retrieve motion segments from the motion database,
which uses two types of classification rules that are discovered by
different learning models. Our method allows robust and efficient
retrieval from complex motion sequences with a small number of
training data.},
 pages = {22--23},
 publisher = {ACM},
 title = {Rule-based Retrieval of Human Motion Data Using Inductive Logic Programming},
 year = {2007}
}