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ICML
2009
IEEE
15 years 8 months ago
Feature hashing for large scale multitask learning
Empirical evidence suggests that hashing is an effective strategy for dimensionality reduction and practical nonparametric estimation. In this paper we provide exponential tail bo...
Kilian Q. Weinberger, Anirban Dasgupta, John Langf...
FOCS
2000
IEEE
15 years 6 months ago
Stable Distributions, Pseudorandom Generators, Embeddings and Data Stream Computation
In this article, we show several results obtained by combining the use of stable distributions with pseudorandom generators for bounded space. In particular: —We show that, for a...
Piotr Indyk
NIPS
2007
15 years 3 months ago
Locality and low-dimensions in the prediction of natural experience from fMRI
Functional Magnetic Resonance Imaging (fMRI) provides dynamical access into the complex functioning of the human brain, detailing the hemodynamic activity of thousands of voxels d...
Francois Meyer, Greg Stephens
ICIP
2007
IEEE
15 years 5 months ago
Unsupervised Nonlinear Manifold Learning
This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...
Matthieu Brucher, Christian Heinrich, Fabrice Heit...
ISQED
2007
IEEE
123views Hardware» more  ISQED 2007»
15 years 8 months ago
General Block Structure-Preserving Reduced Order Modeling of Linear Dynamic Circuits
In this paper, we propose a generalized block structure-preserving reduced order interconnect macromodeling method (BSPRIM). Our approach extends structure-preserving model order ...
Ning Mi, Boyuan Yan, Sheldon X.-D. Tan, Jeffrey Fa...