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ICASSP
2008
IEEE
14 years 2 months ago
Least-squares design of subsampled allpass transformed DFT filter-banks with LTI property
A new design approach for an allpass transformed analysis-synthesis filter-bank (AS FB) with subsampling is proposed, which can be used for adaptive subband processing with non-u...
Heinrich W. Löllmann, Guido Dartmann, Peter V...
CVPR
2003
IEEE
14 years 9 months ago
Practical Non-parametric Density Estimation on a Transformation Group for Vision
It is now common practice in machine vision to define the variability in an object's appearance in a factored manner, as a combination of shape and texture transformations. I...
Erik G. Miller, Christophe Chefd'Hotel
ESANN
2008
13 years 9 months ago
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
Bertha Guijarro-Berdiñas, Oscar Fontenla-Ro...
NIPS
2003
13 years 9 months ago
Multiple-Instance Learning via Disjunctive Programming Boosting
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...
Stuart Andrews, Thomas Hofmann
ICIP
2000
IEEE
14 years 9 months ago
Subspaces of Quantization Artifacts for Image Transform Compression
This paper presents a new algorithm for reducing quantization artifacts in transform coded images. For transform coded signals, we analytically show that one can determine linear ...
Onur G. Guleryuz