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TIP
2010
141views more  TIP 2010»
13 years 3 months ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina
TNN
2010
143views Management» more  TNN 2010»
13 years 3 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
TOMCCAP
2010
202views more  TOMCCAP 2010»
13 years 3 months ago
Audio-visual atoms for generic video concept classification
We investigate the challenging issue of joint audio-visual analysis of generic videos targeting at semantic concept detection. We propose to extract a novel representation, the Sh...
Wei Jiang, Courtenay V. Cotton, Shih-Fu Chang, Dan...
CCIW
2011
Springer
13 years 15 days ago
On the Application of Structured Sparse Model Selection to JPEG Compressed Images
The representation model that considers an image as a sparse linear combination of few atoms of a predefined or learned dictionary has received considerable attention in recent ye...
Giovanni Maria Farinella, Sebastiano Battiato
EDBT
2011
ACM
203views Database» more  EDBT 2011»
13 years 13 days ago
QueryViz: helping users understand SQL queries and their patterns
We present QueryViz, a novel visualization tool for SQL queries that reduces the time needed to read and understand existing queries. It targets two principal audiences: (i) users...
Jonathan Danaparamita, Wolfgang Gatterbauer