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» The Robustness of Level Sets
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140
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KDD
2012
ACM
207views Data Mining» more  KDD 2012»
13 years 2 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
84
Voted
AROBOTS
2010
128views more  AROBOTS 2010»
15 years 18 days ago
Track-based self-supervised classification of dynamic obstacles
Abstract This work introduces a self-supervised architecture for robust classification of moving obstacles in urban environments. Our approach presents a hierarchical scheme that r...
Roman Katz, Juan Nieto, Eduardo Mario Nebot, Bertr...
ICCAD
2006
IEEE
124views Hardware» more  ICCAD 2006»
15 years 9 months ago
Robust system level design with analog platforms
An approach to robust system level mixed signal design is presented based on analog platforms. The bottom-up characterization phase of platform components provides accurate perfor...
Fernando De Bernardinis, Pierluigi Nuzzo, Alberto ...
57
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ICRA
2008
IEEE
127views Robotics» more  ICRA 2008»
15 years 7 months ago
Continuous control law from unilateral constraints
— The control approaches based on tasks, and particularly based on a hierarchy of tasks, enable to build complex behaviors with some nice properties of robustness and portability...
Nicolas Mansard, Oussama Khatib
113
Voted
PAMI
2006
125views more  PAMI 2006»
15 years 12 days ago
Channel Smoothing: Efficient Robust Smoothing of Low-Level Signal Features
In this paper, we present a new and efficient method to implement robust smoothing of low-level signal features: B-spline channel smoothing. This method consists of three steps: en...
Michael Felsberg, Per-Erik Forssén, Hanno S...