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Volumn , Issue , 2008, Pages

Distributed localization in wireless sensor networks as a pre-image problem in a Reproducing Kernel Hilbert Space

Author keywords

[No Author keywords available]

Indexed keywords

ANCHOR NODES; DISTRIBUTED LOCALIZATION; DISTRIBUTED STRATEGIES; EUCLIDEAN; KERNEL PRINCIPAL COMPONENT ANALYSES (KPCA); LOCAL SIMILARITY; NONLINEAR MANIFOLDS; NONLINEAR PROJECTIONS; PRE-IMAGE PROBLEM; RANGE SENSORS; REPRODUCING KERNEL HILBERT SPACES; SENSOR POSITION ESTIMATION;

EID: 84863754678     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (12)
  • 5
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Schölkopf, A. Smola, and K.-R. Müller, "Nonlinear component analysis as a kernel eigenvalue problem," Neural Computation, vol. 10, no. 5, pp. 1299-1319, 1998.
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Müller, K.-R.3
  • 8
    • 25844445939 scopus 로고    scopus 로고
    • Iterative kernel principal component analysis for image modeling
    • K. Kim, M. Franz, and B. Schölkopf, "Iterative kernel principal component analysis for image modeling," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 9, pp. 1351-1366, 2005.
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell. , vol.27 , Issue.9 , pp. 1351-1366
    • Kim, K.1    Franz, M.2    Schölkopf, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.