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ICCV
2009
IEEE
15 years 3 months ago
Dimensionality Reduction and Principal Surfaces via Kernel Map Manifolds
We present a manifold learning approach to dimensionality reduction that explicitly models the manifold as a mapping from low to high dimensional space. The manifold is represen...
Samuel Gerber, Tolga Tasdizen, Ross Whitaker
ECCV
2008
Springer
14 years 12 months ago
Quick Shift and Kernel Methods for Mode Seeking
We show that the complexity of the recently introduced medoid-shift algorithm in clustering N points is O(N2 ), with a small constant, if the underlying distance is Euclidean. This...
Andrea Vedaldi, Stefano Soatto
PKDD
2009
Springer
147views Data Mining» more  PKDD 2009»
14 years 4 months ago
Kernel Polytope Faces Pursuit
Abstract. Polytope Faces Pursuit (PFP) is a greedy algorithm that approximates the sparse solutions recovered by 1 regularised least-squares (Lasso) [4,10] in a similar vein to (Or...
Tom Diethe, Zakria Hussain
HICSS
2010
IEEE
216views Biometrics» more  HICSS 2010»
14 years 3 months ago
A Virtualization Architecture for In-Depth Kernel Isolation
Recent advances in virtualization technologies have sparked a renewed interest in the use of kernel and process virtualization as a security mechanism to enforce resource isolatio...
Jiang Wang, Sameer Niphadkar, Angelos Stavrou, Anu...
USENIX
2003
13 years 11 months ago
Kernel Support for Faster Web Proxies
This paper proposes two mechanisms for reducing the communication-related overheads of Web applications. One mechanism is user-level connection tracking, which allows an applicati...
Marcel-Catalin Rosu, Daniela Rosu