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» Minimization of Error Functionals over Perceptron Networks
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97
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DMSN
2005
ACM
14 years 11 months ago
The threshold join algorithm for top-k queries in distributed sensor networks
In this paper we present the Threshold Join Algorithm (TJA), which is an efficient TOP-k query processing algorithm for distributed sensor networks. The objective of a top-k query...
Demetrios Zeinalipour-Yazti, Zografoula Vagena, Di...
ICDM
2007
IEEE
248views Data Mining» more  ICDM 2007»
15 years 1 months ago
Adapting SVM Classifiers to Data with Shifted Distributions
Many data mining applications can benefit from adapting existing classifiers to new data with shifted distributions. In this paper, we present Adaptive Support Vector Machine (Ada...
Jun Yang 0003, Rong Yan, Alexander G. Hauptmann
ICIP
2006
IEEE
15 years 11 months ago
Methods to Improve Coding Efficiency of SP Frames
SP-frame is a new picture type supported by H.264, and supports functions such as rate-switching and random-access. In this paper, we investigate several complementary methods to ...
Wai-tian Tan, Bo Shen
99
Voted
AROBOTS
2002
91views more  AROBOTS 2002»
14 years 9 months ago
Fast, On-Line Learning of Globally Consistent Maps
To navigate in unknown environments, mobile robots require the ability to build their own maps. A major problem for robot map building is that odometry-based dead reckoning cannot ...
Tom Duckett, Stephen Marsland, Jonathan Shapiro
70
Voted
IJCNN
2000
IEEE
15 years 2 months ago
Neural Networks for Novelty Detection in Airframe Strain Data
The structural health of airframes is often monitored by analysis of the frequency of occurrence matrix (FOOM) produced after each flight. Each cell in the matrix records a stres...
Simon J. Hickinbotham, James Austin