Feature extraction techniques for grasp classification.
1998 master's thesis by Rodney Bruce Elliott at University of Canterbury
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Feature extraction techniques for grasp classification.
Summary
Feature extraction techniques for grasp classification. is a master's thesis[1].
Key Facts
- Feature extraction techniques for grasp classification.'s instance of is recorded as master's thesis[2].
- Feature extraction techniques for grasp classification. was published by UC Research Repository[3].
- Feature extraction techniques for grasp classification.'s language of work or name is recorded as English[4].
- Feature extraction techniques for grasp classification.'s country of origin is recorded as New Zealand[5].
- Feature extraction techniques for grasp classification. was released on 1998[6].
- Feature extraction techniques for grasp classification.'s main subject is mechanical engineering[7].
- Feature extraction techniques for grasp classification.'s work available at URL is recorded as https://ir.canterbury.ac.nz/handle/10092/3447[8].
- Feature extraction techniques for grasp classification.'s title is recorded as Feature extraction techniques for grasp classification.[9].
- Feature extraction techniques for grasp classification.'s author name string is recorded as Rodney Bruce Elliott[10].
- Feature extraction techniques for grasp classification.'s thesis submitted to is recorded as University of Canterbury[11].
- Feature extraction techniques for grasp classification.'s on focus list of Wikimedia project is recorded as NZThesisProject[12].
- Feature extraction techniques for grasp classification.'s copyright status is recorded as copyrighted[13].
- Feature extraction techniques for grasp classification.'s online access status is recorded as open access[14].
- Feature extraction techniques for grasp classification.'s thesis committee member is recorded as Guy Reginald Dunlop[15].
- Feature extraction techniques for grasp classification.'s thesis submitted for degree is recorded as Master of Engineering[16].
Body
Designation and Status
Feature extraction techniques for grasp classification.'s instance of is recorded as master's thesis[2].