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139
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TIP
2010
141views more  TIP 2010»
14 years 10 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
152
Voted
TNN
2010
143views Management» more  TNN 2010»
14 years 10 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, ...
130
Voted
TOMCCAP
2010
202views more  TOMCCAP 2010»
14 years 10 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...
288
Voted
CCIW
2011
Springer
14 years 7 months 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
170
Voted
EDBT
2011
ACM
203views Database» more  EDBT 2011»
14 years 7 months 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