1172 search results - page 85 / 235 » From Data Distributions to Regularization in Invariant Learn... |
127
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
In this paper, we investigate a new machine learning framework called Online Transfer Learning (OTL) that aims to transfer knowledge from some source domain to an online learning ...
145
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ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
Classical dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption and cannot deal with heterogeneity and non-stationarity in temporal processes. Various ap...
141
Voted
CEC
2009
IEEE
15 years 8 months ago
2009
IEEE
—We present a new distributed genetic algorithm that can be used to extract useful information from distributed, large data over the network. The main idea of the proposed algori...
181
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Publication
Ageometric framework for the recognition of three-dimensional objects represented by point
clouds is introducedin this paper. The proposed approach is based on comparing distribut...
165
Voted
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...