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ICCV
2009
IEEE
16 years 7 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
151
Voted
ECCV
2008
Springer
16 years 4 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»
15 years 9 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
121
Voted
HICSS
2010
IEEE
216views Biometrics» more  HICSS 2010»
15 years 8 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...
109
Voted
USENIX
2003
15 years 4 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