1553 search results - page 31 / 311 » Learning from Multiple Sources of Inaccurate Data |
191
Voted
GIS
2004
ACM
16 years 3 months ago
2004
ACM
Many Geographic Information System (GIS) applications require the conversion of an address to geographic coordinates. This process is called geocoding. The traditional geocoding m...
150
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AAAI
2012
13 years 4 months ago
2012
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
124
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3DIM
1999
IEEE
15 years 6 months ago
1999
IEEE
We present a method for computing normals and colors from multiple sets of photometric data, that are consistent with each other and an underlying lower resolution mesh. Normals a...
113
Voted
SAC
2009
ACM
15 years 9 months ago
2009
ACM
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
169
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
Multi-instance multi-label learning (MIML) refers to the
learning problems where each example is represented by a
bag/collection of instances and is labeled by multiple labels.
...