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» A new nonlinear similarity measure for multichannel signals
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ICRA
2010
IEEE
111views Robotics» more  ICRA 2010»
13 years 6 months ago
A new sensor self-calibration framework from velocity measurements
— In this paper we propose a new on-line sensor self-calibration framework. The approach is to consider the sensor/robot interaction that links the sensor signal variations to th...
Olivier Kermorgant, David Folio, François C...
ETS
2010
IEEE
150views Hardware» more  ETS 2010»
13 years 6 months ago
Predicting dynamic specifications of ADCs with a low-quality digital input signal
— A new method is presented to test dynamic parameters of Analogue-to-Digital Converters (ADC). A noisy and nonlinear pulse is applied as the test stimulus, which is suitable for...
Xiaoqin Sheng, Vincent Kerzerho, Hans G. Kerkhoff
JMLR
2010
110views more  JMLR 2010»
13 years 6 months ago
Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization
Nonlinear dimensionality reduction methods are often used to visualize high-dimensional data, although the existing methods have been designed for other related tasks such as mani...
Jarkko Venna, Jaakko Peltonen, Kristian Nybo, Hele...
PAMI
2006
125views more  PAMI 2006»
13 years 7 months 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...
EWCBR
2004
Springer
14 years 1 months ago
Case Retrieval Using Nonlinear Feature-Space Transformation
Abstract. Good similarity functions are at the heart of effective case-based reasoning. However, the similarity functions that have been designed so far have been mostly linear, we...
Rong Pan, Qiang Yang, Lei Li