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PR
2008
120views more  PR 2008»
14 years 11 months ago
Fuzzy integral based information fusion for classification of highly confusable non-speech sounds
Acoustic event classification may help to describe acoustic scenes and contribute to improve the robustness of speech technologies. In this work, fusion of different information s...
Andrey Temko, Dusan Macho, Climent Nadeu
ATAL
2011
Springer
13 years 11 months ago
Metric learning for reinforcement learning agents
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
Matthew E. Taylor, Brian Kulis, Fei Sha
TASLP
2011
14 years 6 months ago
A Probabilistic Interaction Model for Multipitch Tracking With Factorial Hidden Markov Models
—We present a simple and efficient feature modeling approach for tracking the pitch of two simultaneously active speakers. We model the spectrogram features of single speakers u...
Michael Wohlmayr, Michael Stark, Franz Pernkopf
ICML
2003
IEEE
16 years 17 days ago
Hidden Markov Support Vector Machines
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...
DASFAA
2006
IEEE
183views Database» more  DASFAA 2006»
15 years 5 months ago
Probabilistic Similarity Join on Uncertain Data
An important database primitive for commonly used feature databases is the similarity join. It combines two datasets based on some similarity predicate into one set such that the n...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...