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» The Combining Classifier: To Train or Not to Train
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IADIS
2008
13 years 10 months ago
Subspace Orthogonal Projection for Texture Segmentation with Wavelet Frames
We propose a new supervised texture segmentation and classification technique based on combining features extracted from the discrete wavelet frames of an image (specifically, the...
Mahmoud K. Quweider
LREC
2008
119views Education» more  LREC 2008»
13 years 10 months ago
Text Independent Speaker Identification in Multilingual Environments
Speaker identification and verification systems have a poor performance when model training is done in one language while the testing is done in another. This situation is not unu...
Iker Luengo, Eva Navas, Iñaki Sainz, Ibon S...
LREC
2008
124views Education» more  LREC 2008»
13 years 10 months ago
Translation-oriented Word Sense Induction Based on Parallel Corpora
Word Sense Disambiguation (WSD) is an intermediate task that serves as a means to an end defined by the application in which it is to be used. However, different applications have...
Marianna Apidianaki
NIPS
2008
13 years 10 months ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang
NAACL
2007
13 years 10 months ago
To Memorize or to Predict: Prominence labeling in Conversational Speech
The immense prosodic variation of natural conversational speech makes it challenging to predict which words are prosodically prominent in this genre. In this paper, we examine a n...
Ani Nenkova, Jason Brenier, Anubha Kothari, Sasha ...