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AAAI
2008
15 years 9 months ago
Classification by Discriminative Regularization
Classification is one of the most fundamental problems in machine learning, which aims to separate the data from different classes as far away as possible. A common way to get a g...
Bin Zhang, Fei Wang, Ta-Hsin Li, Wen Jun Yin, Jin ...
DPHOTO
2009
119views Hardware» more  DPHOTO 2009»
15 years 4 months ago
Naturalness classification of images into DCT domain
Holistic representations of natural scenes are an effective and powerful source of information for semantic classification and analysis of arbitrary images. Recently, the frequenc...
Sebastiano Battiato, Giovanni Maria Farinella, Gio...
ICPR
2010
IEEE
16 years 1 months ago
Statistical Shape Modeling using Morphological Representations
The aim of this paper is to propose tools for statistical analysis of shape families using morphological operators. Given a series of shape families (or shape categories), the appr...
S. Velasco-Forero and J. Angulo
CSCW
2010
ACM
16 years 3 months ago
Survival needs and social inclusion: technology use among the homeless
This research reports an ethnographic study of issues surrounding digital technologies owned and used by homeless people in Los Angeles County. We identify two themes—survival a...
Jahmeilah Roberson, Bonnie A. Nardi
IJON
2002
103views more  IJON 2002»
15 years 6 months ago
RBF networks training using a dual extended Kalman filter
: A new supervised learning procedure for training RBF networks is proposed. It uses a pair of parallel running Kalman filters to sequentially update both the output weights and th...
Iulian B. Ciocoiu