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DAGM
2011
Springer
14 years 6 months ago
Relaxed Exponential Kernels for Unsupervised Learning
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
Karim T. Abou-Moustafa, Mohak Shah, Fernando De la...
ICIP
2007
IEEE
16 years 8 months ago
Analysis of Coding Efficiency of Motion-Compensated Interpolation at the Decoder in Distributed Video Coding
This paper analyzes the coding efficiency of distributed video coding (DVC) schemes that perform motion-compensated interpolation at the decoder. The decoder has access only to th...
Marco Tagliasacchi, Laura Frigerio, Stefano Tubaro
MICCAI
2003
Springer
16 years 7 months ago
Determination of the Mechanical Properties of Soft Human Tissues through Aspiration Experiments
Mechanical models for soft human organs are necessary for a variety of medical applications, such as surgical planning, virtual reality surgery simulators, and for diagnostic purpo...
Alessandro Nava, Edoardo Mazza, Frederic Kleinerma...
ICASSP
2009
IEEE
16 years 1 months ago
Lattice-based MLLR for speaker recognition
Maximum-Likelihod Linear Regression (MLLR) transform coefficients have shown to be useful features for text-independent speaker recognition systems. These use MLLR coefficients ...
Marc Ferras, Claude Barras, Jean-Luc Gauvain
ICASSP
2009
IEEE
16 years 1 months ago
Microarray classification using block diagonal linear discriminant analysis with embedded feature selection
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
Lingyan Sheng, Roger Pique-Regi, Shahab Asgharzade...