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» Unsupervised Feature Selection Using Feature Similarity
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PRL
2002
70views more  PRL 2002»
13 years 10 months ago
On the use of nearest feature line for speaker identification
As a new pattern classification method, nearest feature line (NFL) provides an effective way to tackle the sort of pattern recognition problems where only limited data are availab...
Ke Chen 0001, Ting-Yao Wu, HongJiang Zhang
ICONIP
2007
13 years 11 months ago
Using Image Stimuli to Drive fMRI Analysis
We introduce a new unsupervised fMRI analysis method based on Kernel Canonical Correlation Analysis which differs from the class of supervised learning methods that are increasing...
David R. Hardoon, Janaina Mourão Miranda, M...
ICCV
2009
IEEE
15 years 3 months ago
Detection of Human Actions From A Single Example
We present an algorithm for detecting human actions based upon a single given video example of such actions. The proposed method is unsupervised, does not require learning, segm...
Hae Jong Seo, Peyman Milanfar
MM
2006
ACM
130views Multimedia» more  MM 2006»
14 years 4 months ago
An unsupervised method for clustering images based on their salient regions of interest
We have developed a biologically-motivated, unsupervised way of grouping together images whose salient regions of interest (ROIs) are perceptually similar regardless of the visual...
Gustavo B. Borba, Humberto R. Gamba, Oge Marques, ...
ICPR
2000
IEEE
14 years 11 months ago
Grouping of Directional Features Using an Extended Hough Transform
Directional features extracted from Gabor responses are used as primitives for perceptual grouping. In previous work, we extracted Gabor features in 8 directions and then applied ...
María J. Carreira, Majid Mirmehdi, Barry T....