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AAAI
2006
15 years 3 months ago
Embedding Heterogeneous Data Using Statistical Models
Embedding algorithms are a method for revealing low dimensional structure in complex data. Most embedding algorithms are designed to handle objects of a single type for which pair...
Amir Globerson, Gal Chechik, Fernando Pereira, Naf...
88
Voted
ICANN
2009
Springer
15 years 8 months ago
Simbed: Similarity-Based Embedding
Simbed, standing for similarity-based embedding, is a new method of embedding high-dimensional data. It relies on the preservation of pairwise similarities rather than distances. I...
John Aldo Lee, Michel Verleysen
MEMOCODE
2010
IEEE
15 years 1 days ago
Predictable multithreading of embedded applications using PRET-C
Sidharta Andalam, Partha S. Roop, Alain Girault
ICIP
2002
IEEE
16 years 3 months ago
Reversible data hiding
We present a novel reversible (lossless) data hiding (embedding) technique, which enables the exact recovery of the original host signal upon extraction of the embedded informatio...
Mehmet Utku Celik, Gaurav Sharma, Eli Saber, A. Mu...
111
Voted
MICCAI
2007
Springer
16 years 3 months ago
Segmentation of Q-Ball Images Using Statistical Surface Evolution
In this article, we develop a new method to segment Q-Ball imaging (QBI) data. We first estimate the orientation distribution function (ODF) using a fast and robust spherical harmo...
Maxime Descoteaux, Rachid Deriche