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» From a Set of Shapes to Object Discovery
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KES
2005
Springer
14 years 1 months ago
Ontology Modeling and Storage System for Robot Context Understanding
Abstract. A mobile robot that interacts with its environment needs a machineunderstandable representation of objects and their usages. We present an ontology of objects, with gener...
Eric Wang, Yong Se Kim, Hak Soo Kim, Jin Hyun Son,...
BIOINFORMATICS
2007
137views more  BIOINFORMATICS 2007»
13 years 7 months ago
Annotation-based distance measures for patient subgroup discovery in clinical microarray studies
: Background Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering...
Claudio Lottaz, Joern Toedling, Rainer Spang
SIGGRAPH
1992
ACM
13 years 11 months ago
Surface reconstruction from unorganized points
We describe and demonstrate an algorithm that takes as input an unorganized set of points fx1; : : : ; xng IR3 on or near an unknown manifold M, and produces as output a simplicia...
Hugues Hoppe, Tony DeRose, Tom Duchamp, John Alan ...
3DPVT
2006
IEEE
140views Visualization» more  3DPVT 2006»
14 years 1 months ago
Carving from Ray-Tracing Constraints: IRT-Carving
We present a new algorithm for improving an available (conservative) estimate of the shape of an object using constraints from ray-tracing. In particular, we exploit incoherences ...
Marco Andreetto, Silvio Savarese, Pietro Perona
ICPR
2006
IEEE
14 years 8 months ago
Latent Layout Analysis for Discovering Objects in Images
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
David Liu, Datong Chen, Tsuhan Chen