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ICPR
2002
IEEE
16 years 8 months ago
Unsupervised Learning Using Locally Linear Embedding: Experiments with Face Pose Analysis
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...
Abdenour Hadid, Matti Pietikäinen, Olga Kouro...
MICCAI
2004
Springer
16 years 8 months ago
Three-Dimensional Shape-Motion Analysis of the Left Anterior Descending Coronary Artery in EBCT Images
In this paper, we present a physics-based deformable model framework for the quantification of shape and motion parameters of the Left Anterior Descending (LAD) coronary artery in ...
Alberto Santamaría-Pang, Amol Pednekar, Ioa...
IPMI
2007
Springer
16 years 8 months ago
Adaptive Time-Frequency Models for Single-Trial M/EEG Analysis
Abstract. A new method is introduced for estimating single-trial magnetoor electro-encephalography (M/EEG), based on a non-linear fit of timefrequency atoms. The method can be appl...
Christian Bénar, Maureen Clerc, Théo...
PERCOM
2009
ACM
16 years 2 months ago
Using Situation Lattices in Sensor Analysis
Highly sensorised systems present two parallel challenges: how to design a sensor suite that can efficiently and cost-effectively support the needs of given services; and to extr...
Juan Ye, Lorcan Coyle, Simon Dobson, Paddy Nixon
IEEECIT
2009
IEEE
16 years 1 months ago
Describing Web Topics Meticulously through Word Graph Analysis
Topic description is as important as topic detection. In this paper, we propose a novel method to describe Web topics with topic words. Under the assumption that representative wo...
Bai Sun, Lei Shi, Liang Kong, Yan Zhang