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TKDE
2010
190views more  TKDE 2010»
15 years 5 months ago
Effectively Indexing the Uncertain Space
—With the rapid development of various optical, infrared, and radar sensors and GPS techniques, there are a huge amount of multidimensional uncertain data collected and accumulat...
Ying Zhang, Xuemin Lin, Wenjie Zhang, Jianmin Wang...
COMSNETS
2012
222views more  COMSNETS 2012»
14 years 2 months ago
Exploring the design space of social network-based Sybil defenses
—Recently, there has been significant research interest in leveraging social networks to defend against Sybil attacks. While much of this work may appear similar at first glanc...
Bimal Viswanath, Mainack Mondal, Allen Clement, Pe...
GLVLSI
2005
IEEE
133views VLSI» more  GLVLSI 2005»
16 years 6 days ago
Generating decision regions in analog measurement spaces
We develop a neural network that learns to separate the nominal from the faulty instances of a circuit in a measurement space. We demonstrate that the required separation boundari...
Haralampos-G. D. Stratigopoulos, Yiorgos Makris
MLMI
2004
Springer
15 years 12 months ago
Mapping from Speech to Images Using Continuous State Space Models
In this paper a system that transforms speech waveforms to animated faces are proposed. The system relies on continuous state space models to perform the mapping, this makes it po...
Tue Lehn-Schiøler, Lars Kai Hansen, Jan Lar...
COLING
2010
15 years 1 months ago
A Structured Vector Space Model for Hidden Attribute Meaning in Adjective-Noun Phrases
We present an approach to model hidden attributes in the compositional semantics of adjective-noun phrases in a distributional model. For the representation of adjective meanings,...
Matthias Hartung, Anette Frank