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126
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IJON
2008
109views more  IJON 2008»
15 years 2 months ago
Unsupervised learning neural network with convex constraint: Structure and algorithm
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
Hengqing Tong, Tianzhen Liu, Qiaoling Tong
IJBIDM
2006
78views more  IJBIDM 2006»
15 years 2 months ago
Appraisal of companies with Bayesian networks
: Appraisal of companies is an important business activity. We mainly apply Bayesian networks for this classification task for Japanese electric company data. Firstly, few standard...
Priyantha Wijayatunga, Shigeru Mase, Masanori Naka...
124
Voted
CVPR
2005
IEEE
16 years 4 months ago
Generative versus Discriminative Methods for Object Recognition
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the di...
Ilkay Ulusoy, Christopher M. Bishop
136
Voted
ICML
2009
IEEE
16 years 3 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
130
Voted
CHI
2005
ACM
16 years 3 months ago
A living laboratory for the design and evaluation of ubiquitous computing technologies
We introduce the PlaceLab, a new "living laboratory" for the study of ubiquitous technologies in home settings. The PlaceLab is a tool for researchers developing context...
Stephen S. Intille, Kent Larson, Jennifer Beaudin,...