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KDD
2004
ACM
132views Data Mining» more  KDD 2004»
16 years 4 months ago
A probabilistic framework for semi-supervised clustering
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
SIGMOD
2005
ACM
119views Database» more  SIGMOD 2005»
16 years 4 months ago
DogmatiX Tracks down Duplicates in XML
Duplicate detection is the problem of detecting different entries in a data source representing the same real-world entity. While research abounds in the realm of duplicate detect...
Melanie Weis, Felix Naumann
CSE
2009
IEEE
15 years 11 months ago
Visually and Acoustically Exploring the High-Dimensional Space of Music
Abstract—The permanent growth of personal music collections caused by the ongoing digital revolution asks for novel ways of organization. Traditional list based approaches are—...
Lukas Bossard, Michael Kuhn 0002, Roger Wattenhofe...
ICASSP
2008
IEEE
15 years 10 months ago
Query by humming of midi and audio using locality sensitive hashing
This paper proposes a query by humming method based on locality sensitive hashing (LSH). The method constructs an index of melodic fragments by extracting pitch vectors from a dat...
Matti Ryynänen, Anssi Klapuri
ICASSP
2008
IEEE
15 years 10 months ago
Topic mining on web-shared videos
Internet videos have grown exponentially with the help from video sharing websites. Automatic topic mining is therefore increasingly important for organizing and navigating such l...
Lu Liu, Yong Rui, Lifeng Sun, Bo Yang, Jianwei Zha...