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ICNC
2005
Springer
15 years 8 months ago
Texture Segmentation Using Neural Networks and Multi-scale Wavelet Features
This paper presents a novel texture segmentation method using Bayesian estimation and neural networks. Multi-scale wavelet coefficients and the context information extracted from n...
Tae-Hyung Kim, Il Kyu Eom, Yoo Shin Kim
128
Voted
PERCOM
2004
ACM
16 years 2 months ago
Learning to Detect User Activity and Availability from a Variety of Sensor Data
Using a networked infrastructure of easily available sensors and context-processing components, we are developing applications for the support of workplace interactions. Notions o...
Dave Snowdon, Jean-Luc Meunier, Martin Mühlen...
ESANN
2000
15 years 4 months ago
Confidence estimation methods for neural networks : a practical comparison
Feed-forward neural networks (Multi-Layered Perceptrons) are used widely in real-world regression or classification tasks. A reliable and practical measure of prediction "conf...
Georgios Papadopoulos, Peter J. Edwards, Alan F. M...
122
Voted
BMCBI
2007
129views more  BMCBI 2007»
15 years 3 months ago
Inferring cellular networks - a review
In this review we give an overview of computational and statistical methods to reconstruct cellular networks. Although this area of research is vast and fast developing, we show t...
Florian Markowetz, Rainer Spang
ICWN
2008
15 years 4 months ago
Progressive Content-Sensitive Data Retrieval in Sensor Networks
: Problem statement: For a sensor network comprising autonomous and self-organizing data sources, efficient similarity-based search for semantic-rich resources (such as video data)...
Bo Yang, Mareboyana Manohar, Shaoying Kou