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» A Boosting Algorithm for Regression
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ICIP
2009
IEEE
15 years 2 months ago
Face identification using linear regression
In this paper we present a novel approach of face identification by formulating the pattern recognition problem in terms of linear regression. Using a fundamental concept that pat...
Imran Naseem, Roberto Togneri, Mohammed Bennamoun
JMLR
2002
75views more  JMLR 2002»
15 years 4 months ago
Stability and Generalization
We define notions of stability for learning algorithms and show how to use these notions to derive generalization error bounds based on the empirical error and the leave-one-out e...
Olivier Bousquet, André Elisseeff
ECCV
2006
Springer
16 years 6 months ago
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...
GLVLSI
2005
IEEE
124views VLSI» more  GLVLSI 2005»
15 years 10 months ago
SOFTENIT: a methodology for boosting the software content of system-on-chip designs
Embedded software is a preferred choice for implementing system functionality in modern System-on-Chip (SoC) designs, due to the high flexibility, and lower engineering costs pro...
Abhishek Mitra, Marcello Lajolo, Kanishka Lahiri
ICRA
2005
IEEE
122views Robotics» more  ICRA 2005»
15 years 10 months ago
Supervised Learning of Places from Range Data using AdaBoost
— This paper addresses the problem of classifying places in the environment of a mobile robot into semantic categories. We believe that semantic information about the type of pla...
Óscar Martínez Mozos, Cyrill Stachni...