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» Learning Models for Object Recognition
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131
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ICML
2007
IEEE
16 years 4 months ago
Adaptive mesh compression in 3D computer graphics using multiscale manifold learning
This paper investigates compression of 3D objects in computer graphics using manifold learning. Spectral compression uses the eigenvectors of the graph Laplacian of an object'...
Sridhar Mahadevan
130
Voted
IJCAI
1989
15 years 4 months ago
A Technique for Customizing Object-Oriented Knowledge Representation Systems, With An Application to Network Problem Management
Over the last few years, object-oriented techniques have gained an increasing recognition both in software engineering and in AI. Object-oriented systems present undisputable adva...
Lisiane Goffaux, Robert Mathonet
IJRR
2008
109views more  IJRR 2008»
15 years 3 months ago
Robotic Grasping of Novel Objects using Vision
We consider the problem of grasping novel objects, specifically ones that are being seen for the first time through vision. Grasping a previously unknown object, one for which a 3...
Ashutosh Saxena, Justin Driemeyer, Andrew Y. Ng
114
Voted
NLDB
2005
Springer
15 years 9 months ago
Combining Data-Driven Systems for Improving Named Entity Recognition
Abstract. The increasing flow of digital information requires the extraction, filtering and classification of pertinent information from large volumes of texts. An important pre...
Zornitsa Kozareva, Óscar Ferrández, ...
CVPR
2006
IEEE
16 years 5 months ago
Joint Boosting Feature Selection for Robust Face Recognition
A fundamental challenge in face recognition lies in determining what facial features are important for the identification of faces. In this paper, a novel face recognition framewo...
Rong Xiao, Wu-Jun Li, Yuandong Tian, Xiaoou Tang