Sciweavers

785 search results - page 44 / 157
» Semi-Supervised Dimensionality Reduction
Sort
View
SAC
2005
ACM
15 years 9 months ago
Estimating manifold dimension by inversion error
Video and image datasets can often be described by a small number of parameters, even though each image usually consists of hundreds or thousands of pixels. This observation is of...
Shawn Martin, Alex Bäcker
COMPLIFE
2006
Springer
15 years 7 months ago
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
Illia Horenko, Johannes Schmidt-Ehrenberg, Christo...
DEXA
2006
Springer
190views Database» more  DEXA 2006»
15 years 7 months ago
High-Dimensional Similarity Search Using Data-Sensitive Space Partitioning
Abstract. Nearest neighbor search has a wide variety of applications. Unfortunately, the majority of search methods do not scale well with dimensionality. Recent efforts have been ...
Sachin Kulkarni, Ratko Orlandic
CSDA
2006
138views more  CSDA 2006»
15 years 3 months ago
Automatic dimensionality selection from the scree plot via the use of profile likelihood
Most dimension reduction techniques produce ordered coordinates so that only the first few coordinates need be considered in subsequent analyses. The choice of how many coordinate...
Mu Zhu, Ali Ghodsi
UAI
2000
15 years 5 months ago
Experiments with Random Projection
Recent theoretical work has identified random projection as a promising dimensionality reduction technique for learning mixtures of Gaussians. Here we summarize these results and ...
Sanjoy Dasgupta