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SIBGRAPI
2005
IEEE
14 years 1 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
EMNLP
2010
13 years 5 months ago
Translingual Document Representations from Discriminative Projections
Representing documents by vectors that are independent of language enhances machine translation and multilingual text categorization. We use discriminative training to create a pr...
John Platt, Kristina Toutanova, Wen-tau Yih
CVPR
2009
IEEE
15 years 2 months ago
Reducing JointBoost-Based Multiclass Classification to Proximity Search
Boosted one-versus-all (OVA) classifiers are commonly used in multiclass problems, such as generic object recognition, biometrics-based identification, or gesture recognition. Join...
Alexandra Stefan (University of Texas at Arlington...
BMCBI
2010
123views more  BMCBI 2010»
13 years 7 months ago
An improved classification of G-protein-coupled receptors using sequence-derived features
Background: G-protein-coupled receptors (GPCRs) play a key role in diverse physiological processes and are the targets of almost two-thirds of the marketed drugs. The 3 D structur...
Zhen-Ling Peng, Jian-Yi Yang, Xin Chen
DSP
2008
13 years 6 months ago
On statistical approaches to target silhouette classification in difficult conditions
In this paper we present a methodical evaluation of the performance of a new and two traditional approaches to automatic target recognition (ATR) based on silhouette representatio...
Conrad Sanderson, Danny Gibbins, Stephen Searle