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» A comparative study of two object recognition methods
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ISCAS
2006
IEEE
154views Hardware» more  ISCAS 2006»
15 years 9 months ago
A novel Fisher discriminant for biometrics recognition: 2DPCA plus 2DFLD
— this paper presents a novel image feature extraction and recognition method two dimensional linear discriminant analysis (2DLDA) in a much smaller subspace. Image representatio...
R. M. Mutelo, Li Chin Khor, Wai Lok Woo, Satnam Si...
WEBI
2009
Springer
15 years 10 months ago
Rank Aggregation Based Text Feature Selection
Filtering feature selection method (filtering method, for short) is a well-known feature selection strategy in pattern recognition and data mining. Filtering method outperforms ot...
Ou Wu, Haiqiang Zuo, Mingliang Zhu, Weiming Hu, Ju...
CVPR
2005
IEEE
15 years 9 months ago
Linear Combination Representation for Outlier Detection in Motion Tracking
In this paper we show that Ullman and Basri’s linear combination (LC) representation, which was originally proposed for alignment-based object recognition, can be used for outli...
Guodong Guo, Charles R. Dyer, Zhengyou Zhang
ICDAR
2009
IEEE
15 years 10 months ago
A Set of Chain Code Based Features for Writer Recognition
This communication presents an effective method for writer recognition in handwritten documents. We have introduced a set of features that are extracted from the contours of handw...
Imran Siddiqi, Nicole Vincent
CVPR
2007
IEEE
16 years 5 months ago
Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
Pablo Arias, Gregory Randall, Guillermo Sapiro