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» Structural Modelling with Sparse Kernels
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AIIA
2007
Springer
15 years 1 months ago
Advanced Tree-Based Kernels for Protein Classification
One of the aims of modern Bioinformatics is to discover the molecular mechanisms that rule the protein operation. This would allow us to understand the complex processes involved i...
Elisa Cilia, Alessandro Moschitti
GPB
2010
231views Solid Modeling» more  GPB 2010»
14 years 7 months ago
Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
Ferran Reverter, Esteban Vegas, Pedro Sánch...
ICW
2005
IEEE
160views Communications» more  ICW 2005»
15 years 3 months ago
BAP Sparsing: A Novel Approach to MPEG-4 Body Animation Parameter Compression
The MPEG-4 standard includes support not only for natural video and audio, but also for synthetic graphics and sounds. In the MPEG-4 specifications, Body Animation Parameters (BAP...
Siddhartha Chattopadhyay, Suchendra M. Bhandarkar,...
CORR
2012
Springer
218views Education» more  CORR 2012»
13 years 5 months ago
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
Yaniv Plan, Roman Vershynin
ICIP
2010
IEEE
14 years 8 months ago
Combining free energy score spaces with information theoretic kernels: Application to scene classification
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Manuele Bicego, Alessandro Perina, Vittorio Murino...