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AAAI
2012
7 years 12 months ago
Online Kernel Selection: Algorithms and Evaluations
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Y...
DEXA
2011
Springer
263views Database» more  DEXA 2011»
8 years 9 months ago
Sampling the National Deep Web
A huge portion of today’s Web consists of web pages filled with information from myriads of online databases. This part of the Web, known as the deep Web, is to date relatively ...
Denis Shestakov
ICASSP
2011
IEEE
9 years 1 months ago
Shannon meets Nyquist: Capacity limits of sampled analog channels
We explore several fundamental questions at the intersection of sampling theory and information theory. In particular, we study how capacity is affected by a given sampling mechan...
Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith
TOCS
2008
107views more  TOCS 2008»
9 years 9 months ago
RaWMS - Random Walk Based Lightweight Membership Service for Wireless Ad Hoc Networks
RaWMS is a novel lightweight random membership service for ad hoc networks. The service provides each node with a partial uniformly chosen view of network nodes. Such a membership...
Ziv Bar-Yossef, Roy Friedman, Gabriel Kliot
MICRO
2006
IEEE
94views Hardware» more  MICRO 2006»
9 years 9 months ago
A Sampling Method Focusing on Practicality
In the past few years, several research works have demonstrated that sampling can drastically speed up architecture simulation, and several of these sampling techniques are already...
Daniel Gracia Pérez, Hugues Berry, Olivier ...
IMAGING
2001
9 years 11 months ago
Spherical Sampling and Color Transformations
In this paper, we present a spherical sampling technique that can be employed to find optimal sensors for trichromatic color applications. The advantage over other optimization te...
Graham D. Finlayson, Sabine Süsstrunk
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