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POPL
1996
ACM
14 years 3 months ago
Discovering Auxiliary Information for Incremental Computation
This paper presents program analyses and transformations that discover a general class of auxiliary information for any incremental computation problem. Combining these techniques...
Yanhong A. Liu, Scott D. Stoller, Tim Teitelbaum
SIGMOD
1997
ACM
107views Database» more  SIGMOD 1997»
14 years 3 months ago
Range Queries in OLAP Data Cubes
A range query applies an aggregation operation over all selected cells of an OLAP data cube where the selection is speci ed by providing ranges of values for numeric dimensions. W...
Ching-Tien Ho, Rakesh Agrawal, Nimrod Megiddo, Ram...
IJCNN
2000
IEEE
14 years 3 months ago
Metrics that Learn Relevance
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
Samuel Kaski, Janne Sinkkonen
ISBI
2007
IEEE
14 years 5 months ago
Multiscale Intensity Estimation for Multi-Photon Microscopy
Multi-photon laser scanning microscopy is a cutting-edge tool for high-resolution imaging of living tissue and organisms used to study biological processes such as cellular dynami...
Rebecca Willett
ICASSP
2008
IEEE
14 years 5 months ago
System combination using auxiliary information for speaker verification
Recent studies in speaker recognition have shown that scorelevel combination of subsystems can yield significant performance gains over individual subsystems. We explore the use ...
Luciana Ferrer, Martin Graciarena, Argyrios Zymnis...
KDD
2008
ACM
162views Data Mining» more  KDD 2008»
14 years 11 months ago
Composition attacks and auxiliary information in data privacy
Privacy is an increasingly important aspect of data publishing. Reasoning about privacy, however, is fraught with pitfalls. One of the most significant is the auxiliary informatio...
Srivatsava Ranjit Ganta, Shiva Prasad Kasiviswanat...
ICPR
2006
IEEE
14 years 12 months ago
Switching Auxiliary Chains for Speech Recognition based on Dynamic Bayesian Networks
This paper investigates the problem of incorporating auxiliary information (e.g. pitch) for speech recognition using dynamic Bayesian networks (DBNs). Previous works usually model...
Hui Lin 0001, Zhijian Ou