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» Robust Principal Component Analysis for Computer Vision
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MLDM
2005
Springer
14 years 1 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
RE
2004
Springer
14 years 26 days ago
Architecture-driven Problem Decomposition
Jackson’s Problem Frames provide a means of analysing and decomposing problems. They emphasise the world outside the computer helping the developer to focus on the problem domai...
Lucia Rapanotti, Jon G. Hall, Michael Jackson, Bas...
CSDA
2008
115views more  CSDA 2008»
13 years 7 months ago
Complex-valued ICA based on a pair of generalized covariance matrices
It is shown that any pair of scatter and spatial scatter matrices yields an estimator of the separating matrix for complex-valued independent component analysis (ICA). Scatter (re...
Esa Ollila, Hannu Oja, Visa Koivunen
ITIIS
2008
128views more  ITIIS 2008»
13 years 7 months ago
An Asymmetric Key-Based Security Architecture for Wireless Sensor Networks
In spite of previous common assumptions about the incompatibility of public key cryptography (PKC) schemes with wireless sensor networks (WSNs), recent works have shown that they ...
Md. Mokammel Haque, Al-Sakib Khan Pathan, Choong S...
ICARCV
2008
IEEE
140views Robotics» more  ICARCV 2008»
14 years 2 months ago
Gaining colour stability in live image capturing
Digital colour cameras are dramatically falling in price, making them affordable for ubiquitous appliances in many applications. An attempt to use colour information reveals a si...
Guy K. Kloss, Napoleon H. Reyes, Martin J. Johnson...