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» Discovering Informative Patterns and Data Cleaning
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MM
2005
ACM
146views Multimedia» more  MM 2005»
14 years 29 days ago
Unsupervised content discovery in composite audio
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
Rui Cai, Lie Lu, Alan Hanjalic
CHI
2009
ACM
14 years 8 months ago
Exploring video streams using slit-tear visualizations
Slit-tear visualizations allow users to selectively visualize pixel paths in a video scene. The slit-tear visualization technique is a generalization of the traditional photograph...
Anthony Tang, Saul Greenberg, Sidney Fels
MOBIHOC
2003
ACM
14 years 7 months ago
ANODR: anonymous on demand routing with untraceable routes for mobile ad-hoc networks
In hostile environments, the enemy can launch traffic analysis against interceptable routing information embedded in routing messages and data packets. Allowing adversaries to tra...
Jiejun Kong, Xiaoyan Hong
SPIESR
2003
165views Database» more  SPIESR 2003»
13 years 8 months ago
Analysis of musical expression in audio signals
In western art music, composers communicate their work to performers via a standard notation which specificies the musical pitches and relative timings of notes. This notation ma...
Simon Dixon
SDM
2007
SIAM
107views Data Mining» more  SDM 2007»
13 years 8 months ago
On Demand Phenotype Ranking through Subspace Clustering
High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...
Xiang Zhang, Wei Wang 0010, Jun Huan