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» Distributed linear discriminant analysis
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ICDAR
2009
IEEE
15 years 7 months ago
Fisher Kernels for Handwritten Word-spotting
The Fisher kernel is a generic framework which combines the benefits of generative and discriminative approaches to pattern classification. In this contribution, we propose to a...
Florent Perronnin, José A. Rodríguez...
PR
2006
108views more  PR 2006»
15 years 18 days ago
Boosted discriminant projections for nearest neighbor classification
In this paper we introduce a new embedding technique to find the linear projection that best projects labeled data samples into a new space where the performance of a Nearest Neig...
David Masip, Jordi Vitrià
SIBGRAPI
2005
IEEE
15 years 6 months ago
A Maximum Uncertainty LDA-Based Approach for Limited Sample Size Problems : With Application to Face Recognition
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and instability of the within-class scatter matrix. In practice, particularly in image recog...
Carlos E. Thomaz, Duncan Fyfe Gillies
131
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Recent progress in prosodic speaker verification
We describe recent progress in the field of prosodic modeling for speaker verification. In a previous paper, we proposed a technique for modeling syllable-based prosodic feature...
Marcel Kockmann, Luciana Ferrer, Lukas Burget, Eli...
82
Voted
CIVR
2005
Springer
130views Image Analysis» more  CIVR 2005»
15 years 6 months ago
Improvement on PCA and 2DPCA Algorithms for Face Recognition
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
Vo Dinh Minh Nhat, Sungyoung Lee