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» On Combining Classifiers
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ICPR
2006
IEEE
14 years 10 months ago
Protein Fold Recognition using a Structural Hidden Markov Model
Protein fold recognition has been the focus of computational biologists for many years. In order to map a protein primary structure to its correct 3D fold, we introduce in this pa...
Djamel Bouchaffra, Jun Tan
MICCAI
2002
Springer
14 years 9 months ago
Detecting Wedge Shaped Defects in Polarimetric Images of the Retinal Nerve Fiber Layer
Wedge shaped defects of the retinal nerve fiber layer (RNFL) may occur in glaucoma. Currently, automatic detection of wedge shaped defects in Scanning Laser Polarimetry images of t...
Koen Vermeer, Frans Vos, Hans Lemij, Albert M. Vos...
WOWMOM
2009
ACM
158views Multimedia» more  WOWMOM 2009»
14 years 3 months ago
Opportunistic scanning: Interruption-free network topology discovery for wireless mesh networks
This paper presents the concept and preliminary performance evaluation of a stochastic network discovery approach named opportunistic scanning. Therein, a station only pauses its ...
Marc Emmelmann, Sven Wiethoelter, Hyung-Taek Lim
MLDM
2005
Springer
14 years 2 months ago
Clustering Large Dynamic Datasets Using Exemplar Points
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
William Sia, Mihai M. Lazarescu
CVPR
1998
IEEE
14 years 10 months ago
Probabilistic Reasoning Models for Face Recognition
We introduce in this paper two probabilistic reasoning models (PRM-1 and PRM-2) which combine the Principal Component Analysis (PCA) technique and the Bayes classifier and show th...
Chengjun Liu, Harry Wechsler