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» Applying Support Vector Machines to Imbalanced Datasets
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ICPR
2008
IEEE
16 years 1 days 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
15 years 11 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...
131
Voted
BMCBI
2008
74views more  BMCBI 2008»
15 years 5 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»
15 years 4 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
15 years 7 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