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CAIP
2007
Springer
109views Image Analysis» more  CAIP 2007»
15 years 10 months ago
Hierarchical Classifiers for Detection of Fractures in X-Ray Images
Fracture of the bone is a very serious medical condition. In clinical practice, a tired radiologist has been found to miss fracture cases after looking through many images containi...
Joshua Congfu He, Wee Kheng Leow, Tet Sen Howe
DAGM
2007
Springer
15 years 10 months ago
Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts
We address the problem of describing the mean object for a set of planar shapes in the case that the considered dissimilarity measures are semi-metrics, i.e. in the case that the t...
Frank R. Schmidt, Eno Töppe, Daniel Cremers, ...
ISSAC
1991
Springer
89views Mathematics» more  ISSAC 1991»
15 years 10 months ago
On the Resolution of Index Form Equations
In the present paper we describe a new algorithm to determine the minimal index and all elements with minimal index in totally real biquadratic fields with Galois group D8. The m...
István Gaál, Attila Pethö, Mich...
WSC
2008
15 years 9 months ago
Efficient simulation for tail probabilities of Gaussian random fields
We are interested in computing tail probabilities for the maxima of Gaussian random fields. In this paper, we discuss two special cases: random fields defined over a finite number...
Robert J. Adler, Jose Blanchet, Jingchen Liu
ICONIP
2007
15 years 8 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