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» Applying Support Vector Machines to Imbalanced Datasets
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ICPR
2008
IEEE
14 years 4 months ago
Convex hull based approach for multi-oriented character recognition from graphical documents
In this paper, we present a scheme towards recognition of English character in multi-scale and multi-oriented environments. Graphical document such as map consists of text lines w...
Partha Pratim Roy, Umapada Pal, Josep Lladó...
ECCV
2010
Springer
14 years 3 months ago
Towards Optimal Naive Bayes Nearest Neighbor
Abstract. Naive Bayes Nearest Neighbor (NBNN) is a feature-based image classifier that achieves impressive degree of accuracy [1] by exploiting ‘Image-toClass’ distances and b...
BMCBI
2008
74views more  BMCBI 2008»
13 years 10 months ago
Prediction of mucin-type O-glycosylation sites in mammalian proteins using the composition of k-spaced amino acid pairs
Background: As one of the most common protein post-translational modifications, glycosylation is involved in a variety of important biological processes. Computational identificat...
Yong-Zi Chen, Yu-Rong Tang, Zhi-Ya Sheng, Ziding Z...
SMC
2010
IEEE
132views Control Systems» more  SMC 2010»
13 years 8 months ago
Selection of SIFT feature points for scene description in robot vision
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
Yuya Utsumi, Masahiro Tsukada, Hirokazu Madokoro, ...
NIPS
2000
13 years 11 months ago
A New Approximate Maximal Margin Classification Algorithm
A new incremental learning algorithm is described which approximates the maximal margin hyperplane w.r.t. norm p 2 for a set of linearly separable data. Our algorithm, called alm...
Claudio Gentile