Sequence data for a group of species is often summarized by a distance matrix M where M[s, t] is the dissimilarity between the sequences of species s and t. An ordinal assertion is...
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
Abstract. We show that the complexity of a parabolic or conic spline approximating a sufficiently smooth curve with non-vanishing curvature to within Hausdorff distance ε is c1ε...
— We consider comparison of Mutual Information (MI)-Energy tradeoff in correlated wireless sensor network (WSN) for cooperative multiple input and multiple output (MIMO) and non-...
We describe an approach for constructing search spaces that consist of highly relevant web pages using similarities between the contents of linked web pages to represent their lin...
Aki Kobayashi, Kuangmin Tan, Katsunori Yamaoka, Yo...