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» Learning from Multiple Sources of Inaccurate Data
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ROBOCUP
2004
Springer
138views Robotics» more  ROBOCUP 2004»
15 years 8 months ago
An Algorithm That Recognizes and Reproduces Distinct Types of Humanoid Motion Based on Periodically-Constrained Nonlinear PCA
Abstract. This paper proposes a new algorithm for the automatic segmentation of motion data from a humanoid soccer playing robot that allows feedforward neural networks to generali...
Rawichote Chalodhorn, Karl F. MacDorman, Minoru As...
160
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CAISE
2003
Springer
15 years 8 months ago
Introducing Custom Language Extensions to SQL: 1999
Abstract. Even though SQL has become widely accepted as a language for implementing relational database schemas and querying data, there are cases where s experience the need for n...
Jernej Kovse, Wolfgang Mahnke
CVPR
2005
IEEE
16 years 5 months ago
Hybrid Models for Human Motion Recognition
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona
129
Voted
BIBE
2007
IEEE
151views Bioinformatics» more  BIBE 2007»
15 years 5 months ago
On the Effectiveness of Constraints Sets in Clustering Genes
—In this paper, we have modified a constrained clustering algorithm to perform exploratory analysis on gene expression data using prior knowledge presented in the form of constr...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
117
Voted
VLDB
2002
ACM
166views Database» more  VLDB 2002»
15 years 3 months ago
COMA - A System for Flexible Combination of Schema Matching Approaches
Schema matching is the task of finding semantic correspondences between elements of two schemas. It is needed in many database applications, such as integration of web data source...
Hong Hai Do, Erhard Rahm