190 search results - page 28 / 38 » Constraint-Based Subspace Clustering. |
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...
IJCV
2007
13 years 7 months ago
2007
We derive a family of kernels on dynamical systems by applying the Binet-Cauchy theorem to trajectories of states. Our derivation provides a unifying framework for all kernels on d...
GLOBECOM
2010
IEEE
13 years 5 months ago
2010
IEEE
Abstract. Gaining a better knowledge of one's own network is crucial to effectively manage and secure today's large, diverse campus and enterprise networks. Because of th...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
JCM
2007
13 years 7 months ago
2007
Abstract— We have used measurements taken on real network to enhance the performance of our radio network planning tool. A distribution learning technique is adopted to realize t...