메뉴 건너뛰기




Volumn 6314 LNCS, Issue PART 4, 2010, Pages 722-735

Tensor sparse coding for region covariances

Author keywords

MAXDET optimization; Positive definite matrices; region covariances; sparse coding

Indexed keywords

CODES (SYMBOLS); COMPUTER VISION; CONVEX OPTIMIZATION;

EID: 78149295108     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15561-1_52     Document Type: Conference Paper
Times cited : (60)

References (32)
  • 2
    • 0001287271 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the Lasso
    • Tibshirani, R.: Regression shrinkage and selection via the Lasso. J. Roy. Statist. Soc. Ser. B 58(1), 267-288 (1996)
    • (1996) J. Roy. Statist. Soc. Ser. B , vol.58 , Issue.1 , pp. 267-288
    • Tibshirani, R.1
  • 4
    • 64649083745 scopus 로고    scopus 로고
    • Signal Recovery from Random Measurements via Orthogonal Matching Pursuit
    • Tropp, J., Gilbert, A.: Signal Recovery from Random Measurements via Orthogonal Matching Pursuit. IEEE Transactions on Information Theory 53(12), 4655-4666 (2007)
    • (2007) IEEE Transactions on Information Theory , vol.53 , Issue.12 , pp. 4655-4666
    • Tropp, J.1    Gilbert, A.2
  • 6
    • 85032750937 scopus 로고    scopus 로고
    • An Introduction to Compressive Sampling
    • Candès, E., Wakin, M.: An Introduction to Compressive Sampling. IEEE Signal Processing Magazine 25(2), 21-30 (2008)
    • (2008) IEEE Signal Processing Magazine , vol.25 , Issue.2 , pp. 21-30
    • Candès, E.1    Wakin, M.2
  • 7
  • 10
    • 33745818927 scopus 로고    scopus 로고
    • Region Covariance: A Fast Descriptor for Detection and Classification
    • Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. Springer, Heidelberg
    • Tuzel, O., Porikli, F., Meer, P.: Region Covariance: A Fast Descriptor for Detection and Classification. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 697-704. Springer, Heidelberg (2006)
    • (2006) LNCS , vol.3952 , pp. 697-704
    • Tuzel, O.1    Porikli, F.2    Meer, P.3
  • 16
    • 77957907627 scopus 로고    scopus 로고
    • Multi-object Tracking using an Adaptive Transition Model Particle Filter with Region Covariance Data Association
    • Palaio, H., Batista, J.: Multi-object Tracking using an Adaptive Transition Model Particle Filter with Region Covariance Data Association. In: 19th International Conference on Pattern Recognition, pp. 1-4 (2008)
    • (2008) 19th International Conference on Pattern Recognition , pp. 1-4
    • Palaio, H.1    Batista, J.2
  • 22
    • 0002125597 scopus 로고
    • The Generalised Product Moment Distribution in Samples from a Normal Multivariate Population
    • Wishart, J.: The Generalised Product Moment Distribution in Samples from a Normal Multivariate Population. Biometrika 20A(1/2), 32-52 (1928)
    • (1928) Biometrika , vol.20 A , Issue.1-2 , pp. 32-52
    • Wishart, J.1
  • 24
    • 33645712308 scopus 로고    scopus 로고
    • Just Relax: Convex Programming Methods for Identifying Sparse Signals in Noise
    • Tropp, J.: Just Relax: Convex Programming Methods for Identifying Sparse Signals in Noise. IEEE Transactions on Information Theory 52(3), 1030-1051 (2006)
    • (2006) IEEE Transactions on Information Theory , vol.52 , Issue.3 , pp. 1030-1051
    • Tropp, J.1
  • 27
    • 49149085985 scopus 로고    scopus 로고
    • When does Non-negative Matrix Factorization give a Correct Decomposition into Parts?
    • Thrun, S., Saul, L., Schólkopf, B. (eds.) MIT Press, Cambridge
    • Donoho, D., Stodden, V.: When does Non-negative Matrix Factorization give a Correct Decomposition into Parts? In: Thrun, S., Saul, L., Schólkopf, B. (eds.) Advances in Neural Information Processing Systems, vol. 16, pp. 1141-1148. MIT Press, Cambridge (2004)
    • (2004) Advances in Neural Information Processing Systems , vol.16 , pp. 1141-1148
    • Donoho, D.1    Stodden, V.2
  • 28
    • 0001093042 scopus 로고    scopus 로고
    • Algorithms for Non-negative Matrix Factorization
    • Leen, T.K., Dietterich, T.G., Tresp, V. (eds.) MIT Press, Cambridge
    • Lee, D.D., Seung, H.S.: Algorithms for Non-negative Matrix Factorization. In: Leen, T.K., Dietterich, T.G., Tresp, V. (eds.) Advances in Neural Information Processing Systems, vol. 13, pp. 556-562. MIT Press, Cambridge (2000)
    • (2000) Advances in Neural Information Processing Systems , vol.13 , pp. 556-562
    • Lee, D.D.1    Seung, H.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.