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ICONIP
2009
15 years 4 months ago
Adaptive Sensor-Driven Neural Control for Learning in Walking Machines
Abstract. Wild rodents learn the danger-predicting meaning of predator bird calls through the paring of cues which are an aversive stimulus (immediate danger signal or unconditione...
Poramate Manoonpong, Florentin Wörgötter
ICASSP
2011
IEEE
14 years 10 months ago
Bilingual acoustic modeling with state mapping and three-stage adaptation for transcribing unbalanced code-mixed lectures
This paper presents a bilingual acoustic modeling approach for transcribing Mandarin-English code-mixed lectures with highly unbalanced language distribution. Special terminologie...
Ching-feng Yeh, Liang-Che Sun, Chao-Yu Huang, Lin-...
KDD
2002
ACM
136views Data Mining» more  KDD 2002»
16 years 6 months ago
Relational Markov models and their application to adaptive web navigation
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
Corin R. Anderson, Pedro Domingos, Daniel S. Weld
IEEEPACT
2008
IEEE
16 years 27 days ago
Meeting points: using thread criticality to adapt multicore hardware to parallel regions
We present a novel mechanism, called meeting point thread characterization, to dynamically detect critical threads in a parallel region. We define the critical thread the one with...
Qiong Cai, José González, Ryan Rakvi...
IROS
2006
IEEE
274views Robotics» more  IROS 2006»
16 years 15 days ago
Adaptive Scale Robust Segmentation for 2D Laser Scanner
Abstract— This paper presents a robust algorithm for segmentation and line detection in 2D range scans. The described method exploits the multimodal probability density function ...
Ruben Martinez-Cantin, José A. Castellanos,...