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IJON
2008
109views more  IJON 2008»
15 years 5 months ago
Unsupervised learning neural network with convex constraint: Structure and algorithm
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
Hengqing Tong, Tianzhen Liu, Qiaoling Tong
ICRA
2008
IEEE
145views Robotics» more  ICRA 2008»
15 years 11 months ago
Acquiring change models for sensor-based robot manipulation
—The aim of this paper is to enable a programmer to easily employ external sensors for flexible robot manipulation. We describe a general approach to determine the relation betwe...
Jan Deiterding, Dominik Henrich
BMCBI
2008
242views more  BMCBI 2008»
15 years 5 months ago
New time-scale criteria for model simplification of bio-reaction systems
Background: Quasi-steady state approximation (QSSA) based on time-scale analysis is known to be an effective method for simplifying metabolic reaction system, but the conventional...
Junwon Choi, Kyung-won Yang, Tai-yong Lee, Sang Yu...
ICDM
2006
IEEE
109views Data Mining» more  ICDM 2006»
15 years 11 months ago
Star-Structured High-Order Heterogeneous Data Co-clustering Based on Consistent Information Theory
Heterogeneous object co-clustering has become an important research topic in data mining. In early years of this research, people mainly worked on two types of heterogeneous data ...
Bin Gao, Tie-Yan Liu, Wei-Ying Ma
ICCV
2009
IEEE
15 years 2 months ago
Robust facial feature tracking using selected multi-resolution linear predictors
This paper proposes a learnt data-driven approach for accurate, real-time tracking of facial features using only intensity information. Constraints such as a-priori shape models o...
Eng-Jon Ong, Yuxuan Lan, Barry Theobald, Richard H...