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ICA
2007
Springer
16 years 1 months ago
Supervised and Semi-supervised Separation of Sounds from Single-Channel Mixtures
In this paper we describe a methodology for model-based single channel separation of sounds. We present a sparse latent variable model that can learn sounds based on their distribu...
Paris Smaragdis, Bhiksha Raj, Madhusudana V. S. Sh...
ICMCS
2005
IEEE
173views Multimedia» more  ICMCS 2005»
16 years 22 days ago
A Multi-Modal Mixed-State Dynamic Bayesian Network for Robust Meeting Event Recognition from Disturbed Data
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Marc Al-Hames, Gerhard Rigoll
ACL
2012
13 years 9 months ago
Labeling Documents with Timestamps: Learning from their Time Expressions
Temporal reasoners for document understanding typically assume that a document’s creation date is known. Algorithms to ground relative time expressions and order events often re...
Nathanael Chambers
EMNLP
2007
15 years 8 months ago
What Can Syntax-Based MT Learn from Phrase-Based MT?
We compare and contrast the strengths and weaknesses of a syntax-based machine translation model with a phrase-based machine translation model on several levels. We briefly descr...
Steve DeNeefe, Kevin Knight, Wei Wang 0006, Daniel...
ICSM
2002
IEEE
16 years 1 days ago
Migration to Object Oriented Platforms: A State Transformation Approach
Over the past years it has become evident that the benefits of object orientation warrant the design and development of reengineering methods that aim to migrate legacy procedural...
Ying Zou, Kostas Kontogiannis