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» Evaluating algorithms that learn from data streams
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CVPR
2001
IEEE
16 years 2 months ago
An Adaptive Algorithm for Text Detection from Natural Scenes
We present a new adaptive algorithm for automatic detection of text from a natural scene. The initial cues of text regions are first detected from the captured image/video. An ada...
Jiang Gao, Jie Yang
ICSNC
2007
IEEE
15 years 6 months ago
Efficient Transformation Scheme for Indexing Continuous Queries on RFID Streaming Data
RFID data are usually regarded as streaming data that are huge and change frequently because they are gathered continuously by numerous readers. RFID middleware filters the data a...
Jaekwan Park, Bonghee Hong, ChaeHoon Ban
FCCM
2004
IEEE
152views VLSI» more  FCCM 2004»
15 years 4 months ago
Implementing and Evaluating Stream Applications on the Dynamically Reconfigurable Processor
Dynamically Reconfigurable Processor (DRP)[1] developed by NEC Electronics is a coarse grain reconfigurable processor that selects a data path from the on-chip repository of sixte...
Noriaki Suzuki, Shunsuke Kurotaki, Masayasu Suzuki...
CEC
2010
IEEE
15 years 1 months ago
An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
Jean-François Connolly, Eric Granger, Rober...
CVPR
2009
IEEE
16 years 7 months ago
Learning to Track with Multiple Observers
We propose a novel approach to designing algorithms for object tracking based on fusing multiple observation models. As the space of possible observation models is too large for...
Björn Stenger, Roberto Cipolla, Thomas Woodle...