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» Learning from examples in unstructured, outdoor environments
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BMVC
2000
13 years 8 months ago
Quantifying Ambiguities in Inferring Vector-Based 3D Models
This paper presents a framework for directly addressing issues arising from self-occlusions and ambiguities due to the lack of depth information in vector-based representations. V...
Eng-Jon Ong, Shaogang Gong
UIC
2009
Springer
14 years 2 months ago
Context-Aware Activity Recognition through a Combination of Ontological and Statistical Reasoning
Abstract. In the last years, techniques for activity recognition have attracted increasing attention. Among many applications, a special interest is in the pervasive e-Health domai...
Daniele Riboni, Claudio Bettini
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
13 years 12 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
AIEDAM
2007
191views more  AIEDAM 2007»
13 years 7 months ago
Ontology-based design information extraction and retrieval
Because of the increasing complexity of products and the design process, as well as the popularity of computer-aided documentation tools, the number of electronic and textual desi...
Zhanjun Li, Karthik Ramani
CVPR
2010
IEEE
14 years 2 months ago
Piecewise Planar and Non-Planar Stereo for Urban Scene Reconstruction
Piecewise planar models for stereo have recently become popular for modeling indoor and urban outdoor scenes. The strong planarity assumption overcomes the challenges presented by...
David Gallup, Jan-Michael Frahm, Marc Pollefeys