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» Process Diagnostics: A Method Based on Process Mining
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ICANN
2005
Springer
15 years 9 months ago
Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
Carlos Miravet, Francisco de Borja Rodrígue...
ICASSP
2010
IEEE
15 years 4 months ago
High frame rate Motion Compensated Frame Interpolation in High-Definition video processing
Numerous MCFI methods have been proposed to increase the frame rate in the past ten years. However, these methods usually focus on how to double the frame rate and involve complex...
Yen-Lin Lee, Truong Nguyen
CCE
2005
15 years 4 months ago
Synthesis of separation processes by case-based reasoning
A new approach to separation process synthesis and selection of single separations is presented. The method is based on the reuse of existing design cases by case-based reasoning ...
Timo Seuranen, Markku Hurme, Elina Pajula
ICML
2008
IEEE
16 years 5 months ago
Sparse multiscale gaussian process regression
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
Bernhard Schölkopf, Christian Walder, Kwang I...
KDD
2009
ACM
151views Data Mining» more  KDD 2009»
16 years 4 months ago
A LRT framework for fast spatial anomaly detection
Given a spatial data set placed on an n ? n grid, our goal is to find the rectangular regions within which subsets of the data set exhibit anomalous behavior. We develop algorithm...
Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ran...