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BMCBI
2008
77views more  BMCBI 2008»
15 years 5 months ago
SeqAn An efficient, generic C++ library for sequence analysis
Background: The use of novel algorithmic techniques is pivotal to many important problems in life science. For example the sequencing of the human genome [1] would not have been p...
Andreas Döring, David Weese, Tobias Rausch, K...
ICDAR
2011
IEEE
14 years 4 months ago
Chromatic / Achromatic Separation in Noisy Document Images
—This paper presents a new method to split an image into chromatic and achromatic zones. The proposed algorithm is dedicated to document images. It is robust to the color noise i...
Asma Ouji, Yann Leydier, Frank Lebourgeois
3DOR
2008
15 years 6 months ago
A 3D Face Recognition Algorithm Using Histogram-based Features
We present an automatic face recognition approach, which relies on the analysis of the three-dimensional facial surface. The proposed approach consists of two basic steps, namely ...
Xuebing Zhou, Helmut Seibert, Christoph Busch, Wol...
ICONIP
2007
15 years 6 months ago
Principal Component Analysis for Sparse High-Dimensional Data
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
Tapani Raiko, Alexander Ilin, Juha Karhunen
CPHYSICS
2006
124views more  CPHYSICS 2006»
15 years 5 months ago
Collision-free spatial hash functions for structural analysis of billion-vertex chemical bond networks
State-of-the-art molecular dynamics (MD) simulations generate massive datasets involving billion-vertex chemical bond networks, which makes data mining based on graph algorithms s...
Cheng Zhang, Bhupesh Bansal, Paulo S. Branicio, Ra...