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» A Bootstrap Method for Training an Accurate Audio Segmenter
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MM
2005
ACM
146views Multimedia» more  MM 2005»
14 years 28 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
IDA
2001
Springer
13 years 11 months ago
Self-Supervised Chinese Word Segmentation
Abstract. We propose a new unsupervised training method for acquiring probability models that accurately segment Chinese character sequences into words. By constructing a core lexi...
Fuchun Peng, Dale Schuurmans
RECOMB
2008
Springer
14 years 7 months ago
Bootstrapping the Interactome: Unsupervised Identification of Protein Complexes in Yeast
Protein interactions and complexes are major components of biological systems. Recent genome-wide applications of tandem affinity purification (TAP) in yeast have increased signifi...
Caroline C. Friedel, Jan Krumsiek, Ralf Zimmer
MM
2010
ACM
169views Multimedia» more  MM 2010»
13 years 7 months ago
CO3 for ultra-fast and accurate interactive segmentation
This paper presents an interactive image segmentation framework which is ultra-fast and accurate. Our framework, termed "CO3", consists of three components: COupled repr...
Yibiao Zhao, Song Chun Zhu, Siwei Luo
CIKM
2001
Springer
13 years 12 months ago
Automatic Discovery of Salient Segments in Imperfect Speech Transcripts
This paper addresses the problem of automatic detection of salient video segments for real-world applications such as corporate training based on associated speech transcriptions....
Dulce B. Ponceleon, Savitha Srinivasan