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» Using Rough Sets as Tools for Knowledge Discovery
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KDD
2009
ACM
193views Data Mining» more  KDD 2009»
15 years 7 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong
104
Voted
JETAI
2007
131views more  JETAI 2007»
15 years 14 days ago
A computational architecture for heterogeneous reasoning
Reasoning, problem solving, indeed the general process of acquiring knowledge, is not an isolated, homogenous affair involving a one agent using a single form of representation, b...
Dave Barker-Plummer, John Etchemendy
191
Voted
MM
2010
ACM
271views Multimedia» more  MM 2010»
14 years 10 months ago
Large-scale music tag recommendation with explicit multiple attributes
Social tagging can provide rich semantic information for largescale retrieval in music discovery. Such collaborative intelligence, however, also generates a high degree of tags un...
Zhendong Zhao, Xinxi Wang, Qiaoliang Xiang, Andy M...
108
Voted
FUIN
2006
107views more  FUIN 2006»
15 years 17 days ago
Learning Sunspot Classification
Sunspots are the subject of interest to many astronomers and solar physicists. Sunspot observation, analysis and classification form an important part of furthering the knowledge a...
Trung Thanh Nguyen, Claire P. Willis, Derek J. Pad...
IMC
2007
ACM
15 years 2 months ago
Learning network structure from passive measurements
The ability to discover network organization, whether in the form of explicit topology reconstruction or as embeddings that approximate topological distance, is a valuable tool. T...
Brian Eriksson, Paul Barford, Robert Nowak, Mark C...