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INTERSPEECH
2010
13 years 2 months ago
Autoregressive clustering for HMM speech synthesis
The autoregressive HMM has been shown to provide efficient parameter estimation and high-quality synthesis, but in previous experiments decision trees derived from a non-autoregre...
Matt Shannon, William Byrne
ICCBR
2003
Springer
14 years 25 days ago
Index Driven Selective Sampling for CBR
In real environments it is often difficult to obtain a collection of cases for the case base that would cover all the problem solving situations. Although it is often somewhat eas...
Nirmalie Wiratunga, Susan Craw, Stewart Massie
IJBIDM
2010
111views more  IJBIDM 2010»
13 years 6 months ago
Context-aware taxi demand hotspots prediction
: In an urban area, the demand for taxis is not always matched up with the supply. This paper proposes mining historical data to predict demand distributions with respect to contex...
Han-Wen Chang, Yu-chin Tai, Jane Yung-jen Hsu
ISNN
2011
Springer
12 years 10 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
JUCS
2008
185views more  JUCS 2008»
13 years 7 months ago
Recognising Informative Web Page Blocks Using Visual Segmentation for Efficient Information Extraction
Abstract: As web sites are getting more complicated, the construction of web information extraction systems becomes more troublesome and time-consuming. A common theme is the diffi...
Jinbeom Kang, Joongmin Choi