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ICML
2005
IEEE
16 years 7 months ago
Reducing overfitting in process model induction
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
Will Bridewell, Narges Bani Asadi, Pat Langley, Lj...
TIP
2002
133views more  TIP 2002»
15 years 6 months ago
A joint inter- and intrascale statistical model for Bayesian wavelet based image denoising
Abstract--This paper presents a new wavelet-based image denoising method, which extends a recently emerged "geometrical" Bayesian framework. The new method combines three...
Aleksandra Pizurica, Wilfried Philips, Ignace Lema...
ICML
2009
IEEE
16 years 7 months ago
Learning dictionaries of stable autoregressive models for audio scene analysis
In this paper, we explore an application of basis pursuit to audio scene analysis. The goal of our work is to detect when certain sounds are present in a mixed audio signal. We fo...
Youngmin Cho, Lawrence K. Saul
BPM
2007
Springer
124views Business» more  BPM 2007»
15 years 10 months ago
SAP WebFlow Made Configurable: Unifying Workflow Templates into a Configurable Model
To facilitate the implementation of workflows, enterprise and workflow system vendors typically provide sets of workflow templates for their software. Each of these templates depic...
Florian Gottschalk, Wil M. P. van der Aalst, Moniq...
ACIVS
2006
Springer
16 years 17 days ago
Discrete Choice Models for Static Facial Expression Recognition
In this paper we propose the use of Discrete Choice Analysis (DCA) for static facial expression classification. Facial expressions are described with expression descriptive units ...
Gianluca Antonini, Matteo Sorci, Michel Bierlaire,...