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BMCBI
2011
13 years 2 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
EUROGRAPHICS
2010
Eurographics
14 years 7 months ago
Synthesis of Responsive Motion Using a Dynamic Model
Synthesizing the movements of a responsive virtual character in the event of unexpected perturbations has proven a difficult challenge. To solve this problem, we devise a fully a...
Yuting Ye and C. Karen Liu
PKDD
2009
Springer
155views Data Mining» more  PKDD 2009»
14 years 5 months ago
Dynamic Factor Graphs for Time Series Modeling
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...
Piotr W. Mirowski, Yann LeCun
HPCA
2002
IEEE
14 years 3 months ago
Control-Theoretic Techniques and Thermal-RC Modeling for Accurate and Localized Dynamic Thermal Management
This paper proposes the use of formal feedback control theory as a way to implement adaptive techniques in the processor architecture. Dynamic thermal management (DTM) is used as ...
Kevin Skadron, Tarek F. Abdelzaher, Mircea R. Stan
DAGM
2008
Springer
14 years 5 days ago
Switching Linear Dynamic Models for Noise Robust In-Car Speech Recognition
Performance of speech recognition systems strongly degrades in the presence of background noise, like the driving noise in the interior of a car. We compare two different Kalman fi...
Björn Schuller, Martin Wöllmer, Tobias M...