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» On the Learnability of Vector Spaces
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CVPR
2011
IEEE
14 years 5 months ago
Local Isomorphism to Solve the Pre-image Problem in Kernel Methods
Kernel methods have been popular over the last decade to solve many computer vision, statistics and machine learning problems. An important, both theoretically and practically, op...
Dong Huang, Yuandong Tian, Fernando DelaTorre
CVPR
2007
IEEE
16 years 1 days ago
Segmenting Motions of Different Types by Unsupervised Manifold Clustering
We propose a novel algorithm for segmenting multiple motions of different types from point correspondences in multiple affine or perspective views. Since point trajectories associ...
Alvina Goh, René Vidal
PODS
2009
ACM
100views Database» more  PODS 2009»
15 years 10 months ago
Space-optimal heavy hitters with strong error bounds
The problem of finding heavy hitters and approximating the frequencies of items is at the heart of many problems in data stream analysis. It has been observed that several propose...
Radu Berinde, Graham Cormode, Piotr Indyk, Martin ...
DAC
1997
ACM
15 years 2 months ago
Toward Formalizing a Validation Methodology Using Simulation Coverage
The biggest obstacle in the formal verification of large designs is their very large state spaces, which cannot be handled even by techniques such as implicit state space travers...
Aarti Gupta, Sharad Malik, Pranav Ashar
SIAMCO
2008
108views more  SIAMCO 2008»
14 years 10 months ago
A Viability Theorem for Morphological Inclusions
The aim of this paper is to adapt the Viability Theorem from differential inclusions (governing the evolution of vectors in a finite dimensional space) to so-called morphological i...
Thomas Lorenz