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TCS
2010
14 years 7 months ago
Active learning in heteroscedastic noise
We consider the problem of actively learning the mean values of distributions associated with a finite number of options. The decision maker can select which option to generate t...
András Antos, Varun Grover, Csaba Szepesv&a...
97
Voted
ICA
2010
Springer
14 years 10 months ago
Adaptive Underdetermined ICA for Handling an Unknown Number of Sources
Independent Component Analysis is the best known method for solving blind source separation problems. In general, the number of sources must be known in advance. In many cases, pre...
Andreas Sandmair, Alam Zaib, Fernando Puente Le&oa...
84
Voted
SPEECH
2010
94views more  SPEECH 2010»
14 years 4 months ago
Predicting the phonetic realizations of word-final consonants in context - A challenge for French grapheme-to-phoneme converters
One of the main problems in developing a text-to-speech (TTS) synthesizer for French lies in grapheme-to-phoneme conversion. Automatic converters produce still too many errors in ...
Josafá de Jesus Aguiar Pontes, Sadaoki Furu...
100
Voted
WEBDB
2010
Springer
178views Database» more  WEBDB 2010»
15 years 2 months ago
Using Latent-Structure to Detect Objects on the Web
An important requirement for emerging applications which aim to locate and integrate content distributed over the Web is to identify pages that are relevant for a given domain or ...
Luciano Barbosa, Juliana Freire
MCS
2000
Springer
15 years 1 months ago
Combining Fisher Linear Discriminants for Dissimilarity Representations
Abstract Investigating a data set of the critical size makes a classification task difficult. Studying dissimilarity data refers to such a problem, since the number of samples equa...
Elzbieta Pekalska, Marina Skurichina, Robert P. W....