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» Using Recon for Data Cleaning
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ICIP
2003
IEEE
14 years 9 months ago
A Bayesian framework for recursive object removal in movie post-production
Some of the most convincing film and video effects are created in digital post-production by removing apparatus that supports or manipulates actors and objects. Wires and people, ...
Anil C. Kokaram, Bill Collis, Simon Robinson
HOTSWUP
2009
ACM
13 years 5 months ago
Migrating Protocols in Multi-Threaded Message-Passing Systems
Dynamic software update is a technique by which a running program can be updated with new code and data without interrupting its execution. Often we will want to preserve properti...
Austin Anderson, Julian Rathke
INTERSPEECH
2010
13 years 2 months ago
An improved wavelet-based dereverberation for robust automatic speech recognition
This paper presents an improved wavelet-based dereverberation method for automatic speech recognition (ASR). Dereverberation is based on filtering reverberant wavelet coefficients...
Randy Gomez, Tatsuya Kawahara
DCC
2004
IEEE
14 years 7 months ago
Discrete Universal Filtering Through Incremental Parsing
In the discrete filtering problem, a data sequence over a finite alphabet is assumed to be corrupted by a discrete memoryless channel. The goal is to reconstruct the clean sequenc...
Erik Ordentlich, Tsachy Weissman, Marcelo J. Weinb...
KDD
2001
ACM
228views Data Mining» more  KDD 2001»
14 years 7 months ago
REVI-MINER, a KDD-environment for deviation detection and analysis of warranty and goodwill cost statements in automotive indust
REVI-MINER is a KDD-environment which supports the detection and analysis of deviations in warranty and goodwill cost statements. The system was developed within the framework of ...
Edgar Hotz, Udo Grimmer, W. Heuser, Gholamreza Nak...