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INCREMENTAL SPARSE PSEUDO-INPUT GAUSSIAN PROCESS REGRESSION.

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Title: INCREMENTAL SPARSE PSEUDO-INPUT GAUSSIAN PROCESS REGRESSION.
Authors: HEUNG-IL SUK1, hisuk@image.korea.ac.kr, YUZHUO WANG1, yzwang@image.korea.ac.kr, SEONG-WHAN LEE2, swlee@image.korea.ac.kr
Source: International Journal of Pattern Recognition & Artificial Intelligence; Dec2012, Vol. 26 Issue 8, p1-16, 16p, 1 Diagram, 3 Charts, 3 Graphs
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 86365451
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: INCREMENTAL SPARSE PSEUDO-INPUT GAUSSIAN PROCESS REGRESSION.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Pattern+Recognition+%26+Artificial+Intelligence%22">International Journal of Pattern Recognition & Artificial Intelligence</searchLink>; Dec2012, Vol. 26 Issue 8, p1-16, 16p, 1 Diagram, 3 Charts, 3 Graphs
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1142/S021800141250019X
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 1
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      – TitleFull: INCREMENTAL SPARSE PSEUDO-INPUT GAUSSIAN PROCESS REGRESSION.
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            NameFull: HEUNG-IL SUK
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            NameFull: YUZHUO WANG
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            NameFull: SEONG-WHAN LEE
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            – D: 01
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              Text: Dec2012
              Type: published
              Y: 2012
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              Value: 26
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              Value: 8
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            – TitleFull: International Journal of Pattern Recognition & Artificial Intelligence
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