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» Semi-supervised Learning from General Unlabeled Data
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CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 8 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
CSL
2002
Springer
13 years 8 months ago
Learning visually grounded words and syntax for a scene description task
A spoken language generation system has been developed that learns to describe objects in computer-generated visual scenes. The system is trained by a `show-and-tell' procedu...
Deb K. Roy
NAACL
2003
13 years 9 months ago
A Web-Trained Extraction Summarization System
A serious bottleneck in the development of trainable text summarization systems is the shortage of training data. Constructing such data is a very tedious task, especially because...
Liang Zhou, Eduard H. Hovy
DPPI
2007
ACM
14 years 1 days ago
Designing for new photographic experiences: how the lomographic practice informed context photography
This paper reports on how we learned from an alternative practice, to design engaging interactive technology intended for a more general user group. We are investigating new types ...
Sara Ljungblad
ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
14 years 1 months ago
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Chihli Hung, Stefan Wermter