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DAGM
2010
Springer
15 years 23 days ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
SIGMETRICS
2008
ACM
214views Hardware» more  SIGMETRICS 2008»
14 years 11 months ago
HMTT: a platform independent full-system memory trace monitoring system
Memory trace analysis is an important technology for architecture research, system software (i.e., OS, compiler) optimization, and application performance improvements. Many appro...
Yungang Bao, Mingyu Chen, Yuan Ruan, Li Liu, Jianp...
TMI
2008
116views more  TMI 2008»
14 years 11 months ago
Reduced Encoding Diffusion Spectrum Imaging Implemented With a Bi-Gaussian Model
Diffusion spectrum imaging (DSI) can map complex fiber microstructures in tissues by characterizing their 3-D water diffusion spectra. However, a long acquisition time is required ...
Chun-Hung Yeh, Kuan-Hung Cho, Hsuan-Cheng Lin, Jiu...
PAMI
2002
114views more  PAMI 2002»
14 years 11 months ago
Principal Manifolds and Probabilistic Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...
Baback Moghaddam
PAMI
2007
196views more  PAMI 2007»
14 years 11 months ago
Clustering and Embedding Using Commute Times
This paper exploits the properties of the commute time between nodes of a graph for the purposes of clustering and embedding, and explores its applications to image segmentation a...
Huaijun Qiu, Edwin R. Hancock