| dc.contributor.author | Mui, Lik | en_US |
| dc.date.accessioned | 2007-07-18T13:37:50Z | |
| dc.date.available | 2007-07-18T13:37:50Z | |
| dc.date.copyright | 1995 | en_US |
| dc.date.issued | 1995 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/38112 | |
| dc.description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995. | en_US |
| dc.description | Includes bibliographical references (leaves 170-177). | en_US |
| dc.description.statementofresponsibility | by Lik Mui. | en_US |
| dc.format.extent | 177 leaves | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | |
| dc.subject | Electrical Engineering and Computer Science | en_US |
| dc.title | A statistical multi-experts approach to image classification and segmentation | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M.Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 34607627 | en_US |
