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PKDD
2007
Springer
91views Data Mining» more  PKDD 2007»
14 years 2 months ago
Domain Adaptation of Conditional Probability Models Via Feature Subsetting
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
Sandeepkumar Satpal, Sunita Sarawagi
CGO
2009
IEEE
14 years 3 months ago
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
Hugh Leather, Edwin V. Bonilla, Michael O'Boyle
EMMCVPR
2011
Springer
12 years 8 months ago
Data-Driven Importance Distributions for Articulated Tracking
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
Søren Hauberg, Kim Steenstrup Pedersen
ICASSP
2010
IEEE
13 years 8 months ago
An adaptive initialization method for speaker Diarization based on prosodic features
The following article presents a novel, adaptive initialization scheme that can be applied to most state-of-the-art Speaker Diarization algorithms, i.e. algorithms that use agglom...
David Imseng, Gerald Friedland
TSD
2005
Springer
14 years 2 months ago
Experimental Evaluation of Tree-Based Algorithms for Intonational Breaks Representation
Abstract. The prosodic specification of an utterance to be spoken by a Textto-Speech synthesis system can be devised in break indices, pitch accents and boundary tones. In particu...
Panagiotis Zervas, Gerasimos Xydas, Nikos Fakotaki...