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TITB
2010
165views Education» more  TITB 2010»
13 years 3 months ago
On combining morphological component analysis and concentric morphology model for mammographic mass detection
Mammographic mass detection is an important task for the early diagnosis of breast cancer. However, it is difficult to distinguish masses from normal regions because of their abund...
Xinbo Gao, Ying Wang, Xuelong Li, Dacheng Tao
NECO
1998
151views more  NECO 1998»
13 years 8 months ago
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
We describe a new method for performing a nonlinear form of Principal Component Analysis. By the use of integral operator kernel functions, we can e ciently compute principal comp...
Bernhard Schölkopf, Alex J. Smola, Klaus-Robe...
TNN
2011
200views more  TNN 2011»
13 years 3 months ago
Domain Adaptation via Transfer Component Analysis
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qi...
FMCAD
2000
Springer
14 years 16 days ago
An Algorithm for Strongly Connected Component Analysis in n log n Symbolic Steps
We present a symbolic algorithm for strongly connected component decomposition. The algorithm performs (n log n) image and preimage computations in the worst case, where n is the n...
Roderick Bloem, Harold N. Gabow, Fabio Somenzi
CVPR
2008
IEEE
14 years 11 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen