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IPSN
2004
Springer
15 years 11 months ago
Distributed particle filters for sensor networks
Abstract. This paper describes two methodologies for performing distributed particle filtering in a sensor network. It considers the scenario in which a set of sensor nodes make m...
Mark Coates
PKDD
2004
Springer
168views Data Mining» more  PKDD 2004»
15 years 11 months ago
Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering
Spam filtering is a text categorization task that has attracted significant attention due to the increasingly huge amounts of junk email on the Internet. While current best-pract...
Christian Siefkes, Fidelis Assis, Shalendra Chhabr...
ICDAR
2003
IEEE
15 years 11 months ago
Shock Filters for Character Image Enhancement and Peeling
In this paper, we propose a generalized shock model for the enhancement and restoration of degraded gray-level character images. This model is a quasi-linear hyperbolic partial di...
Mohamed Cheriet
ISCAS
2003
IEEE
172views Hardware» more  ISCAS 2003»
15 years 11 months ago
Efficient symbol synchronization techniques using variable FIR or IIR interpolation filters
Maximum Likelihood estimation theory can be used to develop optimal timing recovery schemes for digital communication systems. Tunable digital interpolation filters are commonly ...
Martin Makundi, Timo I. Laakso
ISCAS
2003
IEEE
124views Hardware» more  ISCAS 2003»
15 years 11 months ago
Improving the filter bank of a classic speech feature extraction algorithm
The most popular speech feature extractor used in automatic speech recognition (ASR) systems today is the mel frequency cepstral coefficient (mfcc) algorithm. Introduced in 1980,...
Mark D. Skowronski, John G. Harris