OBJECT RECOGNITION AND LEARNING OF KNOWN AND UNKNOWN TYPES.

M. Ben-Bassat; M. Newhouse; E. I. Bailis

OBJECT RECOGNITION AND LEARNING OF KNOWN AND UNKNOWN TYPES.

M. Ben-Bassat^*
, M. Newhouse
, E. I. Bailis

^*Corresponding author for this work

Coller School of Management

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

A system for real-time object recognition and learning from known and unknown classes is presented. A three-level algorithm is described. Level I does not classify patterns. Using deterministic rules, it acts as a prefilter to eliminate obvious classes from further consideration. Level II algorithm is a modified version of the (k,k prime ) nearest neighbor algorithm designed to deal with objects that do not belong to any of the known classes. Level III algorithm is clustering-oriented. When a new pattern arrives, a clustering algorithm is activated to decide whether to assign this pattern to one of the known classes or to classify it as a new type. Experimental results with the system are reported.

Original language	English
Pages	66-71
Number of pages	6
State	Published - 1978
Event	Proc IEEE Comput Soc Conf Pattern Recognition Image Process - Chicago, IL, USA Duration: 31 May 1978 → 2 Jun 1978

Conference

Conference	Proc IEEE Comput Soc Conf Pattern Recognition Image Process
City	Chicago, IL, USA
Period	31/05/78 → 2/06/78

Cite this

@conference{c5af947d59a740d39aa12ef1dcf91f85,

title = "OBJECT RECOGNITION AND LEARNING OF KNOWN AND UNKNOWN TYPES.",

abstract = "A system for real-time object recognition and learning from known and unknown classes is presented. A three-level algorithm is described. Level I does not classify patterns. Using deterministic rules, it acts as a prefilter to eliminate obvious classes from further consideration. Level II algorithm is a modified version of the (k,k prime ) nearest neighbor algorithm designed to deal with objects that do not belong to any of the known classes. Level III algorithm is clustering-oriented. When a new pattern arrives, a clustering algorithm is activated to decide whether to assign this pattern to one of the known classes or to classify it as a new type. Experimental results with the system are reported.",

author = "M. Ben-Bassat and M. Newhouse and Bailis, \{E. I.\}",

year = "1978",

language = "אנגלית",

pages = "66--71",

note = "Proc IEEE Comput Soc Conf Pattern Recognition Image Process ; Conference date: 31-05-1978 Through 02-06-1978",

}

TY - CONF

T1 - OBJECT RECOGNITION AND LEARNING OF KNOWN AND UNKNOWN TYPES.

AU - Ben-Bassat, M.

AU - Newhouse, M.

AU - Bailis, E. I.

PY - 1978

Y1 - 1978

N2 - A system for real-time object recognition and learning from known and unknown classes is presented. A three-level algorithm is described. Level I does not classify patterns. Using deterministic rules, it acts as a prefilter to eliminate obvious classes from further consideration. Level II algorithm is a modified version of the (k,k prime ) nearest neighbor algorithm designed to deal with objects that do not belong to any of the known classes. Level III algorithm is clustering-oriented. When a new pattern arrives, a clustering algorithm is activated to decide whether to assign this pattern to one of the known classes or to classify it as a new type. Experimental results with the system are reported.

AB - A system for real-time object recognition and learning from known and unknown classes is presented. A three-level algorithm is described. Level I does not classify patterns. Using deterministic rules, it acts as a prefilter to eliminate obvious classes from further consideration. Level II algorithm is a modified version of the (k,k prime ) nearest neighbor algorithm designed to deal with objects that do not belong to any of the known classes. Level III algorithm is clustering-oriented. When a new pattern arrives, a clustering algorithm is activated to decide whether to assign this pattern to one of the known classes or to classify it as a new type. Experimental results with the system are reported.

UR - https://www.scopus.com/pages/publications/0018281924

M3 - ???researchoutput.researchoutputtypes.contributiontoconference.paper???

AN - SCOPUS:0018281924

SP - 66

EP - 71

T2 - Proc IEEE Comput Soc Conf Pattern Recognition Image Process

Y2 - 31 May 1978 through 2 June 1978

ER -

OBJECT RECOGNITION AND LEARNING OF KNOWN AND UNKNOWN TYPES.

Abstract

Conference

Other files and links

Fingerprint

Cite this