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» Learning Algorithms for Domain Adaptation
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ICASSP
2009
IEEE
14 years 5 months ago
Independent component analysis for noisy speech recognition
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
Hsin-Lung Hsieh, Jen-Tzung Chien, Koichi Shinoda, ...
EVOW
2009
Springer
14 years 2 months ago
Efficient Signal Processing and Anomaly Detection in Wireless Sensor Networks
In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision uni...
Markus Wälchli, Torsten Braun
IJAR
2008
93views more  IJAR 2008»
13 years 10 months ago
Prototype based fuzzy classification in clinical proteomics
Proteomic profiling based on mass spectrometry is an important tool for studies at the protein and peptide level in medicine and health care. Thereby, the identification of releva...
Frank-Michael Schleif, Thomas Villmann, Barbara Ha...
SIMPAR
2010
150views Robotics» more  SIMPAR 2010»
13 years 8 months ago
Compliant Robot Actuation by Feedforward Controlled Emulated Spring Stiffness
Abstract. Existing legged robots lack energy-efficiency, performance and adaptivity when confronted with situations that animals cope with on a routine basis. Bridging the gap bet...
Katayon Radkhah, Stefan Kurowski, Thomas Lens, Osk...
AAAI
2012
12 years 24 days ago
Advances in Lifted Importance Sampling
We consider lifted importance sampling (LIS), a previously proposed approximate inference algorithm for statistical relational learning (SRL) models. LIS achieves substantial vari...
Vibhav Gogate, Abhay Kumar Jha, Deepak Venugopal