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AAAI
2010
13 years 11 months ago
Conformal Mapping by Computationally Efficient Methods
Dimensionality reduction is the process by which a set of data points in a higher dimensional space are mapped to a lower dimension while maintaining certain properties of these p...
Stefan Pintilie, Ali Ghodsi
PAMI
1998
197views more  PAMI 1998»
13 years 9 months ago
Inference of Integrated Surface, Curve, and Junction Descriptions From Sparse 3D Data
—We are interested in descriptions of 3D data sets, as obtained from stereo or a 3D digitizer. We therefore consider as input a sparse set of points, possibly associated with cer...
Chi-Keung Tang, Gérard G. Medioni
EDBT
2010
ACM
172views Database» more  EDBT 2010»
14 years 3 months ago
Privacy preserving group nearest neighbor queries
User privacy in location-based services has attracted great interest in the research community. We introduce a novel framework based on a decentralized architecture for privacy pr...
Tanzima Hashem, Lars Kulik, Rui Zhang
AAECC
2008
Springer
101views Algorithms» more  AAECC 2008»
13 years 10 months ago
In search of mathematical primitives for deriving universal projective hash families
We provide some guidelines for deriving new projective hash families of cryptographic interest. Our main building blocks are so called group action systems; we explore what propert...
Maria Isabel Gonzalez Vasco, Jorge Luis Villar
MLDM
2005
Springer
14 years 3 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater