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NIPS
2004
15 years 1 months ago
Self-Tuning Spectral Clustering
We study a number of open issues in spectral clustering: (i) Selecting the appropriate scale of analysis, (ii) Handling multi-scale data, (iii) Clustering with irregular backgroun...
Lihi Zelnik-Manor, Pietro Perona
101
Voted
INFOCOM
2008
IEEE
15 years 7 months ago
Scalable Localization with Mobility Prediction for Underwater Sensor Networks
—Due to adverse aqueous environments, non-negligible node mobility and large network scale, localization for large-scale mobile underwater sensor networks is very challenging. In...
Zhong Zhou, Jun-Hong Cui, Amvrossios Bagtzoglou
97
Voted
ICONIP
2007
15 years 2 months ago
Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation
In the paper, we present a new approach to multi-way Blind Source Separation (BSS) and corresponding 3D tensor factorization that has many potential applications in neuroscience an...
Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, Liqi...
121
Voted
GRC
2008
IEEE
15 years 1 months ago
Neighborhood Smoothing Embedding for Noisy Manifold Learning
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Guisheng Chen, Junsong Yin, Deyi Li
DMIN
2008
147views Data Mining» more  DMIN 2008»
15 years 2 months ago
Approximate Computation of Object Distances by Locality-Sensitive Hashing
We propose an approximate computation technique for inter-object distances for binary data sets. Our approach is based on the locality sensitive hashing, scales up with the number ...
Selim Mimaroglu, Dan A. Simovici