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» Estimating Missing Data in Data Streams
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ICONIP
2009
13 years 7 months ago
Exploring Early Classification Strategies of Streaming Data with Delayed Attributes
In contrast to traditional machine learning algorithms, where all data are available in batch mode, the new paradigm of streaming data poses additional difficulties, since data sam...
Mónica Millán-Giraldo, J. Salvador S...
DEBS
2008
ACM
13 years 11 months ago
Real-time, load-adaptive processing of continuous queries over data streams
We introduce a new type of query, called a real-time continuous query (RCQ), that captures the real-time requirements of processing data streams. We develop techniques to efficien...
Dhananjay Kulkarni, Chinya V. Ravishankar, Mitch C...
SODA
2008
ACM
111views Algorithms» more  SODA 2008»
13 years 11 months ago
On distance to monotonicity and longest increasing subsequence of a data stream
In this paper we consider problems related to the sortedness of a data stream. First we investigate the problem of estimating the distance to monotonicity; given a sequence of len...
Funda Ergün, Hossein Jowhari
SC
2009
ACM
14 years 4 months ago
Increasing memory miss tolerance for SIMD cores
Manycore processors with wide SIMD cores are becoming a popular choice for the next generation of throughput oriented architectures. We introduce a hardware technique called “di...
David Tarjan, Jiayuan Meng, Kevin Skadron
ECCV
2002
Springer
14 years 11 months ago
Region Matching with Missing Parts
We present a variational approach to the problem of registering planar shapes despite missing parts. Registration is achieved through the evolution of a partial differential equat...
Alessandro Duci, Anthony J. Yezzi, Sanjoy K. Mitte...