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JMLR
2006
108views more  JMLR 2006»
13 years 8 months ago
Learning Spectral Clustering, With Application To Speech Separation
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...
Francis R. Bach, Michael I. Jordan
CVPR
1997
IEEE
14 years 7 days ago
Physically based fluid flow recovery from image sequences
This paper presents an approach to measuring fluid flow from image sequences. The approach centers around a motion recovery algorithm that is based on principles from fluid mechan...
Richard P. Wildes, Michael J. Amabile, Ann-Marie L...
ICPR
2008
IEEE
14 years 2 months ago
Medical image segmentation via min s-t cuts with sides constraints
Graph cut algorithms (i.e., min s-t cuts) [3][10][15] are useful in many computer vision applications. In this paper we develop a formulation that allows the addition of side cons...
Jiun-Hung Chen, Linda G. Shapiro
ICDM
2006
IEEE
138views Data Mining» more  ICDM 2006»
14 years 2 months ago
Adaptive Blocking: Learning to Scale Up Record Linkage
Many information integration tasks require computing similarity between pairs of objects. Pairwise similarity computations are particularly important in record linkage systems, as...
Mikhail Bilenko, Beena Kamath, Raymond J. Mooney
TASLP
2002
86views more  TASLP 2002»
13 years 7 months ago
High-level approaches to confidence estimation in speech recognition
Abstract--We describe some high-level approaches to estimating confidence scores for the words output by a speech recognizer. By "high-level" we mean that the proposed me...
Stephen Cox, Srinandan Dasmahapatra