9886 search results - page 1476 / 1978 » Learning Compressible Models |
164
click to vote
COLT
2008
Springer
15 years 8 months ago
2008
Springer
In this paper, we investigate stability-based methods for cluster model selection, in particular to select the number K of clusters. The scenario under consideration is that clust...
194
click to vote
EDUTAINMENT
2008
Springer
15 years 8 months ago
2008
Springer
Reconstruction of a real tree from scattered scanned points is a new challenge in virtual reality. Although many progresses are made on main branch structures and overall shape of ...
182
click to vote
ANNS
2007
15 years 8 months ago
2007
The ability to store and retrieve information is critical in any type of neural network. In neural network, the memory particularly associative memory, can be defined as the one i...
169
click to vote
NIPS
2008
15 years 8 months ago
2008
The Temporal Restricted Boltzmann Machine (TRBM) is a probabilistic model for sequences that is able to successfully model (i.e., generate nice-looking samples of) several very hi...
208
Voted
MLMTA
2007
15 years 8 months ago
2007
- Clustering plays an indispensable role for data analysis. Many clustering algorithms have been developed. However, most of them suffer either poor performance of unsupervised lea...