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BMVC
2000
15 years 6 months ago
Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation
High-dimensional data, such as images represented as points in the space spanned by their pixel values, can often be described in a significantly smaller number of dimensions than...
Dick de Ridder, Josef Kittler, Robert P. W. Duin
NIPS
1994
15 years 6 months ago
Recognizing Handwritten Digits Using Mixtures of Linear Models
We construct a mixture of locally linear generative models of a collection of pixel-based images of digits, and use them for recognition. Different models of a given digit are use...
Geoffrey E. Hinton, Michael Revow, Peter Dayan
AUTOMATICA
2007
111views more  AUTOMATICA 2007»
15 years 4 months ago
Output feedback variable structure control for linear systems with uncertainties and disturbances
This paper proposes a dynamic output feedback variable structure controller for linear MIMO systems with mismatched and matched normbounded uncertainties and matched nonlinear dis...
PooGyeon Park, Doo Jin Choi, Seong G. Kong
IPM
2006
151views more  IPM 2006»
15 years 4 months ago
Document clustering using nonnegative matrix factorization
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
Farial Shahnaz, Michael W. Berry, V. Paul Pauca, R...
ICIP
2010
IEEE
15 years 2 months ago
Edge-adaptive image segmentation based on seam processing and K-Means clustering
A new image segmentation method is proposed to combine the edge information with the feature-space method, K-Means clustering. A procedure called seam processing, which is computa...
Tse-Wei Chen, Hsiao-Hang Su, Yi-Ling Chen, Shao-Yi...