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ILP
2007
Springer
16 years 1 months ago
Bias/Variance Analysis for Relational Domains
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
ICIP
2006
IEEE
16 years 9 months ago
Outlier Robust and Edge-Preserving Simultaneous Super-Resolution
In this work, we propose a new robust and edge-preserving superresolution algorithm to simultaneously estimate all frames of a sequence. The new algorithm is based on the regulari...
Joceli Mayer, Marcelo Victor Wüst Zibetti
ICASSP
2009
IEEE
16 years 2 months ago
Optimal parameter estimation for model-based quantization
We address optimal model estimation for model-based vector quantization for both the constrained resolution (CR) and constrained entropy (CE) cases. To this purpose we derive unde...
Alexey Ozerov, W. Bastiaan Kleijn
DAGM
2009
Springer
16 years 2 months ago
Pedestrian Detection by Probabilistic Component Assembly
We present a novel pedestrian detection system based on probabilistic component assembly. A part-based model is proposed which uses three parts consisting of head-shoulder, torso a...
Martin Rapus, Stefan Munder, Gregory Baratoff, Joa...
ICASSP
2008
IEEE
16 years 1 months ago
A no-reference perceptual blockiness metric
A novel no-reference blockiness metric that can automatically and perceptually quantify blocking artifacts of DCT coding is presented. The proposed metric is built upon the specif...
Hantao Liu, Ingrid Heynderickx