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» Propagator: A Family of Patterns
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ICML
2003
IEEE
14 years 9 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
PET
2009
Springer
14 years 3 months ago
Vida: How to Use Bayesian Inference to De-anonymize Persistent Communications
We present the Vida family of abstractions of anonymous communication systems, model them probabilistically and apply Bayesian inference to extract patterns of communications and u...
George Danezis, Carmela Troncoso
ICANN
2003
Springer
14 years 1 months ago
Sparse Coding with Invariance Constraints
We suggest a new approach to optimize the learning of sparse features under the constraints of explicit transformation symmetries imposed on the set of feature vectors. Given a set...
Heiko Wersing, Julian Eggert, Edgar Körner
AMAST
2006
Springer
13 years 10 months ago
DO-Casl: An Observer-Based Casl Extension for Dynamic Specifications
We present DO-Casl, a new member of the CASL family of specification languages. It is an extension of Casl-Ltl and it supports a methodology for conveniently writing loose specific...
Matteo Dell'Amico, Maura Cerioli
PAMI
2007
131views more  PAMI 2007»
13 years 8 months ago
The Gray-Code Filter Kernels
—In this paper, we introduce a family of filter kernels—the Gray-Code Kernels (GCK) and demonstrate their use in image analysis. Filtering an image with a sequence of Gray-Code...
Gil Ben-Artzi, Hagit Hel-Or, Yacov Hel-Or