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INFORMATICALT
2007
111views more  INFORMATICALT 2007»
15 years 6 months ago
Oblique Support Vector Machines
In this paper we propose a modified framework of support vector machines, called Oblique Support Vector Machines(OSVMs), to improve the capability of classification. The principl...
Chih-Chia Yao, Pao-Ta Yu
ICIP
2003
IEEE
16 years 8 months ago
Histogram intersection kernel for image classification
In this paper we address the problem of classifying images, by exploiting global features that describe color and illumination properties, and by using the statistical learning pa...
Annalisa Barla, Francesca Odone, Alessandro Verri
COLT
2000
Springer
15 years 11 months ago
Barrier Boosting
Boosting algorithms like AdaBoost and Arc-GV are iterative strategies to minimize a constrained objective function, equivalent to Barrier algorithms. Based on this new understandi...
Gunnar Rätsch, Manfred K. Warmuth, Sebastian ...
COLT
2004
Springer
15 years 10 months ago
Oracle Bounds and Exact Algorithm for Dyadic Classification Trees
This paper introduces a new method using dyadic decision trees for estimating a classification or a regression function in a multiclass classification problem. The estimator is bas...
Gilles Blanchard, Christin Schäfer, Yves Roze...
AAAI
2006
15 years 8 months ago
Supporting Queries with Imprecise Constraints
In this paper, we motivate the need for and challenges involved in supporting imprecise queries over Web databases. Then we briefly explain our solution, AIMQ - a domain independe...
Ullas Nambiar, Subbarao Kambhampati