13.4.1.6 Learning for Principal Components, Eigen Representations

Ohba, K., Ikeuchi, K.,
Detectability, Uniqueness, and Reliability of Eigen Windows for Stable Verification of Partially Occluded Objects,
PAMI(19), No. 9, September 1997, pp. 1043-1047.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9710 BibRef
Earlier:
Recognition of the Multi Specularity Objects Using the Eigen-Window,
ICPR96(I: 692-696).
IEEE DOI Reference 9608 BibRef
And: CMU-CS-TR-96-105, February 1996.
Postscript Version. BibRef

Ohba, K.[Kohtaro], Sato, Y.[Yoichi], Ikeuchi, K.[Katsushi],
Appearance-Based Visual Learning and Object Recognition with Illumination Invariance,
MVA(12), No. 4, 2000, pp. 189-196.
HTML Version. 0101 BibRef
Earlier:
Appearance Based Object Recognition with Illumination Invariance,
DARPA97(1229-1236). BibRef

Selinger, A.[Andrea], Nelson, R.C.[Randal C.],
A Perceptual Grouping Hierarchy for Appearance-Based 3D Object Recognition,
CVIU(76), No. 1, October 1999, pp. 83-92.
WWW Version. BibRef 9910
Earlier: A2, A1:
Perceptual Grouping Hierarchy for 3D Object Recognition and Representation,
DARPA98(157-163). BibRef

Selinger, A., Nelson, R.C.,
Minimally Supervised Acquisition of 3D Recognition Models from Cluttered Images,
CVPR01(I:213-220).
IEEE Abstract. IEEE Top Reference. 0110 BibRef
And:
Appearance-Based Object Recognition Using Multiple Views,
CVPR01(I:905-911).
IEEE Abstract. IEEE Top Reference. 0110 BibRef
Earlier:
Improving Appearance-based Object Recognition in Cluttered Backgrounds,
ICPR00(Vol I: 46-50).
IEEE DOI Reference
HTML Version. 0009Find the closest one to the initial item, keep merging until above threshold to add to the cluster. Learning for DB indexing. BibRef

Nelson, R.C.[Randal C.], Selinger, A.[Andrea],
Learning 3D Recognition Models for General Objects from Unlabeled Imagery: An Experiment in Intelligent Brute Force,
ICPR00(Vol I: 1-8).
IEEE DOI Reference
HTML Version. 0009 BibRef
Earlier:
Experiments on (Intelligent) Brute Force Methods for Appearance-Based Object Recognition,
DARPA97(1197-1206). BibRef

Nelson, R.C.[Randal C.], and Selinger, A.[Andrea],
A Cubist Approach to Object Recognition,
ICCV98(614-621).
IEEE DOI Reference BibRef 9800

Lee, D.D., Seung, H.S.,
Learning the Parts of Objects by non-Negative Matrix Factorization,
Nature(401), 1999, pp. 788-791. Generate a positive, sparse component bases, similar to PCA, but sparse. BibRef 9900

Pope, A.R.[Arthur R.], Lowe, D.G.[David G.],
Probabilistic Models of Appearance for 3-D Object Recognition,
IJCV(40), No. 2, November 2000, pp. 149-167.
WWW Version. 0101 BibRef
Earlier:
Learning Appearance Models for Object Recognition,
ORCV96(201). 9611 BibRef
Earlier:
Learning Object Recognition Models from Images,
ICCV93(296-301).
IEEE DOI Reference BibRef
And:
Learning 3D Object Recognition Models from 2D Images,
AAAI-MLCV93(xx). University of British Columbia. BibRef

Zheng, W.S.[Wei-Shi], Lai, J.H.[Jian-Huang],
Regularized Locality Preserving Learning of Pre-Image Problem in Kernel Principal Component Analysis,
ICPR06(II: 456-459).
WWW Version. 0609 BibRef

Zheng, W.S.[Wei-Shi], Lai, J.H.[Jian-Huang], Yuen, P.C.[Pong C.],
Weakly Supervised Learning on Pre-image Problem in Kernel Methods,
ICPR06(II: 711-715).
WWW Version. 0609 BibRef

Xuan, G.R.[Guo-Rong], Chai, P.Q.[Pei-Qi], Zhu, X.M.[Xiu-Ming], Yao, Q.M.[Qiu-Ming], Huang, C.[Cong], Shi, Y.Q.[Yun Q.], Fu, D.D.[Dong-Dong],
A Novel Pattern Classification Scheme: Classwise Non-Principal Component Analysis (CNPCA),
ICPR06(III: 320-323).
WWW Version. 0609 BibRef

Yan, S.C.[Shui-Cheng], Xu, D.[Dong], Zhang, L.[Lei], Zhang, B.Y.[Ben-Yu], Zhang, H.J.[Hong-Jiang],
Coupled Kernel-Based Subspace Learning,
CVPR05(I: 645-650).
IEEE DOI Reference 0507 BibRef

Pauli, J.[Josef], Sommer, G.[Gerald],
Ellipsoidal Bias in Learning Appearance-Based Recognition Functions,
WTRCV01(201). 0103 BibRef

Shental, N., Hertz, T., Weinshall, D., Pavel, M.,
Adjustment Learning and Relevant Component Analysis,
ECCV02(IV: 776 ff.).
HTML Version. 0205 BibRef

Eriksen, R.D.[René Dencker], Balslev, I.[Ivar],
Training Space Truncation in Vision-Based Recognition,
VF01(494 ff.).
HTML Version. 0209 BibRef

Guillamet, D.[David], Vitriŕ, J.[Jordi],
Unsupervised Learning of Part-Based Representations,
CAIP01(700-708).
HTML Version. 0210 BibRef

Hou, X.W., Li, S.Z., Zhang, H.J., Cheng, Q.S.,
Direct Appearance Models,
CVPR01(I:828-833).
IEEE Abstract. IEEE Top Reference. 0110Use texture directly in the prediction of the shape and position. BibRef

Li, S.Z., Hou, X.W., Zhang, H.J., Cheng, Q.S.,
Learning Spatially Localized, Parts-Based Representation,
CVPR01(I:207-212).
IEEE Abstract. IEEE Top Reference. 0110Faces. Sparse matrix. ICA. See also Learning the Parts of Objects by non-Negative Matrix Factorization. BibRef

Shah-Hosseini, H., Safabakhsh, R.,
TAPCA: Time Adaptive Self-organizing Maps for Adaptive Principal Components Analysis,
ICIP01(I: 509-512).
IEEE Abstract. IEEE Top Reference. 0108 BibRef

Herbst, B.M.[Ben M.], Muller, N.[Neil],
Building a Representative Training Set Based on Eigenimages,
ICPR98(Vol II: 1846-1848).
IEEE DOI Reference 9808 See also Use of Eigenpictures for Optical Character Recognition, The. BibRef

Abe, T.[Toru], Nakamura, T.[Tomohiko],
Hierarchical-clustering of Parametric Data with Application to the Parametric Eigenspace Method,
ICIP99(IV:118-122).
IEEE Abstract. IEEE Top Reference. BibRef 9900

Abe, T., Nakamura, T.,
Hierarchical Dictionary Constructing Method for the Parametric Eigenspace Method,
MVA98(xx-yy). BibRef 9800

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Computation and Analysis of Principal Components, Eigen Values, SVD .