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ASIACRYPT
2009
Springer
14 years 5 months ago
A Modular Design for Hash Functions: Towards Making the Mix-Compress-Mix Approach Practical
The design of cryptographic hash functions is a very complex and failure-prone process. For this reason, this paper puts forward a completely modular and fault-tolerant approach to...
Anja Lehmann, Stefano Tessaro
ECCV
2004
Springer
15 years 16 days ago
Texture Boundary Detection for Real-Time Tracking
Abstract We propose an approach to texture boundary detection that only requires a line-search in the direction normal to the edge. It is therefore very fast and can be incorporate...
Ali Shahrokni, Tom Drummond, Pascal Fua
MICCAI
2006
Springer
14 years 11 months ago
Anatomically Informed Convolution Kernels for the Projection of fMRI Data on the Cortical Surface
Abstract. We present here a method that aims at producing representations of functional brain data on the cortical surface from functional MRI volumes. Such representations are req...
Grégory Operto, Jean-Luc Anton, Olivier Cou...
ICML
2003
IEEE
14 years 11 months ago
Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation
Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...
Zhihua Zhang
ISBI
2002
IEEE
14 years 11 months ago
Parcellation of brain images with anatomical and functional constraints for fMRI data analysis
In this paper we propose a methodology for brain parcellation with anatomical and functional constraints dedicated to fMRI data analysis. The aim is to provide a representation of...
Denis Rivière, Ferath Kherif, Guillaume Fla...