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ICAI
2004
13 years 5 months ago
K-medoid-style Clustering Algorithms for Supervised Summary Generation
This paper centers on the discussion of k-medoid-style clustering algorithms for supervised summary generation. This task requires clustering techniques that identify class-unifor...
Nidal M. Zeidat, Christoph F. Eick
DGO
2008
128views Education» more  DGO 2008»
13 years 6 months ago
Ontology generation for large email collections
This paper presents a new approach to identifying concepts expressed in a collection of email messages, and organizing them into an ontology or taxonomy for browsing. It incorpora...
Hui Yang, Jamie Callan
ICDM
2003
IEEE
99views Data Mining» more  ICDM 2003»
13 years 9 months ago
Scalable Model-based Clustering by Working on Data Summaries
The scalability problem in data mining involves the development of methods for handling large databases with limited computational resources. In this paper, we present a two-phase...
Huidong Jin, Man Leung Wong, Kwong-Sak Leung
ICMCS
2006
IEEE
138views Multimedia» more  ICMCS 2006»
13 years 10 months ago
Generating Expressive Summaries for Speech and Musical Audio using Self-Similarity Clues
We present a novel algorithm for structural analysis of audio to detect repetitive patterns that are suitable for content-based audio information retrieval systems, since repetiti...
Mustafa Sert, Buyurman Baykal, Adnan Yazici
MIR
2006
ACM
157views Multimedia» more  MIR 2006»
13 years 10 months ago
Generating summaries and visualization for large collections of geo-referenced photographs
We describe a framework for automatically selecting a summary set of photos from a large collection of geo-referenced photographs. Such large collections are inherently difficult ...
Alexander Jaffe, Mor Naaman, Tamir Tassa, Marc Dav...