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NECO
2010
97views more  NECO 2010»
14 years 8 months ago
Rademacher Chaos Complexities for Learning the Kernel Problem
In this paper we develop a novel generalization bound for learning the kernel problem. First, we show that the generalization analysis of the kernel learning problem reduces to in...
Yiming Ying, Colin Campbell
CVPR
2006
IEEE
15 years 11 months ago
Meta-Evaluation of Image Segmentation Using Machine Learning
Image segmentation is a fundamental step in many computer vision applications. Generally, the choice of a segmentation algorithm, or parameterization of a given algorithm, is sele...
Hui Zhang, Sharath R. Cholleti, Sally A. Goldman, ...
ICPR
2002
IEEE
15 years 11 months ago
Object Detection in Images: Run-Time Complexity and Parameter Selection of Support Vector Machines
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
Nicola Ancona, Grazia Cicirelli, Ettore Stella, Ar...
WWW
2009
ACM
15 years 10 months ago
Exploiting web search to generate synonyms for entities
Tasks recognizing named entities such as products, people names, or locations from documents have recently received significant attention in the literature. Many solutions to thes...
Surajit Chaudhuri, Venkatesh Ganti, Dong Xin
ICFP
2005
ACM
15 years 9 months ago
A logical analysis of aliasing in imperative higher-order functions
We present a compositional program logic for call-by-value imperative higher-order functions with general forms of aliasing, which can arise from the use of reference names as fun...
Martin Berger, Kohei Honda, Nobuko Yoshida