1172 search results - page 133 / 235 » From Data Distributions to Regularization in Invariant Learn... |
133
Voted
CIARP
2006
Springer
15 years 5 months ago
2006
Springer
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
148
Voted
JMLR
2012
13 years 6 months ago
2012
We study the problem of learning a group of principal tasks using a group of auxiliary tasks, unrelated to the principal ones. In many applications, joint learning of unrelated ta...
121
Voted
ADBIS
1999
Springer
15 years 8 months ago
1999
Springer
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...
111
Voted
NIPS
2003
15 years 5 months ago
2003
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
134
Voted
PAMI
2008
15 years 3 months ago
2008
We propose a novel adaptive technique for detecting moving shadows and distinguishing them from moving objects in video sequences. Most methods for detecting shadows work in a stat...