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» Memory Prefetching Using Adaptive Stream Detection
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ICDM
2010
IEEE
199views Data Mining» more  ICDM 2010»
13 years 5 months ago
Addressing Concept-Evolution in Concept-Drifting Data Streams
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
Mohammad M. Masud, Qing Chen, Latifur Khan, Charu ...
ICANN
2011
Springer
12 years 11 months ago
Person Tracking Based on a Hybrid Neural Probabilistic Model
This article presents a novel approach for a real-time person tracking system based on particle filters that use different visual streams. Due to the difficulty of detecting a pe...
Wenjie Yan, Cornelius Weber, Stefan Wermter
CGO
2006
IEEE
13 years 11 months ago
Profiling over Adaptive Ranges
Modern computer systems are called on to deal with billions of events every second, whether they are instructions executed, memory locations accessed, or packets forwarded. This p...
Shashidhar Mysore, Banit Agrawal, Timothy Sherwood...
ICIP
2009
IEEE
14 years 8 months ago
Face Detection Through Compact Classifier Using Adaptive Look-up-table
Face detection has been well studied in terms of accuracy and speed. However, required memory size reduction is still poorly studied, which is becoming a critical issue as platfor...
VLDB
2004
ACM
227views Database» more  VLDB 2004»
14 years 1 months ago
Approximate NN queries on Streams with Guaranteed Error/performance Bounds
In data stream applications, data arrive continuously and can only be scanned once as the query processor has very limited memory (relative to the size of the stream) to work with...
Nick Koudas, Beng Chin Ooi, Kian-Lee Tan, Rui Zhan...