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EMNLP
2011
14 years 6 months ago
Approximate Scalable Bounded Space Sketch for Large Data NLP
We exploit sketch techniques, especially the Count-Min sketch, a memory, and time efficient framework which approximates the frequency of a word pair in the corpus without explic...
Amit Goyal, Hal Daumé III
ICASSP
2009
IEEE
16 years 1 months ago
Functional estimation in Hilbert space for distributed learning in wireless sensor networks
In this paper, we propose a distributed learning strategy in wireless sensor networks. Taking advantage of recent developments on kernel-based machine learning, we consider a new ...
Paul Honeine, Cédric Richard, José C...
SG
2009
Springer
16 years 1 months ago
The Pie Slider: Combining Advantages of the Real and the Virtual Space
Abstract. The Pie Segment Slider is a novel parameter control interface combining the advantages of tangible input with the customizability of a graphical interface representation....
Alexander Kulik, André Kunert, Christopher ...
ESTIMEDIA
2007
Springer
16 years 19 days ago
Signature-based Microprocessor Power Modeling for Rapid System-level Design Space Exploration
This paper presents a technique for high-level power estimation of microprocessors. The technique, which is based on abstract execution profiles called ’event signatures’, op...
Peter van Stralen, Andy D. Pimentel
COSIT
2003
Springer
111views GIS» more  COSIT 2003»
15 years 11 months ago
Layers: A New Approach to Locating Objects in Space
Standard theories in mereotopology focus on relations of parthood and connection among spatial or spatio-temporal regions. Objects or processes which might be located in such regio...
Maureen Donnelly, Barry Smith