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NIPS
2003
14 years 11 months ago
Extreme Components Analysis
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
AAAI
1998
14 years 11 months ago
Modeling Web Sources for Information Integration
The Web is based on a browsing paradigm that makes it di cult to retrieve and integrate data from multiple sites. Today, the only way to do this is to build specialized applicatio...
Craig A. Knoblock, Steven Minton, José Luis...
ANLP
2000
109views more  ANLP 2000»
14 years 11 months ago
Predicting Automatic Speech Recognition Performance Using Prosodic Cues
In spoken dialogue systems, it is important for a system to know how likely a speech recognition hypothesis is to be correct, so it can reprompt for fresh input, or, in cases wher...
Diane J. Litman, Julia Hirschberg, Marc Swerts
SPIESR
2003
165views Database» more  SPIESR 2003»
14 years 11 months ago
Analysis of musical expression in audio signals
In western art music, composers communicate their work to performers via a standard notation which specificies the musical pitches and relative timings of notes. This notation ma...
Simon Dixon
SPLST
2003
14 years 11 months ago
Compacting XML Documents
Abstract. Nowadays one of the most common formats for storing information is XML. The size of XML documents can be rather large, and they may contain redundant attributes which can...
Miklós Kálmán, Ferenc Havasi,...
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