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198
Voted
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
15 years 8 months ago
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Alireza Vahdatpour, Majid Sarrafzadeh
SIAMSC
2008
198views more  SIAMSC 2008»
15 years 6 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
173
Voted
CASES
2003
ACM
16 years 3 days ago
A low-power accelerator for the SPHINX 3 speech recognition system
Accurate real-time speech recognition is not currently possible in the mobile embedded space where the need for natural voice interfaces is clearly important. The continuous natur...
Binu K. Mathew, Al Davis, Zhen Fang
217
Voted
KI
2010
Springer
15 years 4 months ago
Situation-Specific Intention Recognition for Human-Robot Cooperation
Recognizing human intentions is part of the decision process in many technical devices. In order to achieve natural interaction, the required estimation quality and the used comput...
Peter Krauthausen, Uwe D. Hanebeck
DAC
2006
ACM
16 years 7 months ago
Behavior and communication co-optimization for systems with sequential communication media
In this paper we propose a new communication synthesis approach targeting systems with sequential communication media (SCM). Since SCMs require that the reading sequence and writi...
Jason Cong, Yiping Fan, Guoling Han, Wei Jiang, Zh...