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HAPTICS
2009
IEEE
15 years 1 months ago
Computationally efficient techniques for data-driven haptic rendering
Data-driven haptic rendering requires processing of raw recorded signals, which leads to high computational effort for large datasets. To achieve real-time performance, one possib...
Raphael Höver, Massimiliano Di Luca, Gá...
AI
2006
Springer
15 years 1 months ago
Exploiting Dynamic Independence in a Static Conditioning Graph
Abstract. A conditioning graph (CG) is a graphical structure that attempt to minimize the implementation overhead of computing probabilities in belief networks. A conditioning grap...
Kevin Grant, Michael C. Horsch
WSC
2008
15 years 3 days ago
Study of optimal load lock dedication for cluster tools
Cluster or chamber tools are often used in the semiconductor industry. In a research environment, moving to smaller device dimensions requires experimentation with new chamber typ...
Julie Christopher
SDM
2007
SIAM
126views Data Mining» more  SDM 2007»
14 years 11 months ago
Nonlinear Dimensionality Reduction using Approximate Nearest Neighbors
Nonlinear dimensionality reduction methods often rely on the nearest-neighbors graph to extract low-dimensional embeddings that reliably capture the underlying structure of high-d...
Erion Plaku, Lydia E. Kavraki
BMCBI
2008
136views more  BMCBI 2008»
14 years 10 months ago
A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
Richard Judson, Fathi Elloumi, R. Woodrow Setzer, ...