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PERCOM
2011
ACM
13 years 13 days ago
Is ontology-based activity recognition really effective?
—While most activity recognition systems rely on data-driven approaches, the use of knowledge-driven techniques is gaining increasing interest. Research in this field has mainly...
Daniele Riboni, Linda Pareschi, Laura Radaelli, Cl...
ACL
2010
13 years 6 months ago
Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
François Mairesse, Milica Gasic, Filip Jurc...
ICTAI
2007
IEEE
14 years 3 months ago
Ontology-Based Object Recognition for Remote Sensing Image Interpretation
The multiplication of Very High Resolution (spatial or spectral) remote sensing images appears to be an opportunity to identify objects in urban and periurban areas. The classifi...
Nicolas Durand, Sébastien Derivaux, Germain...
ICRA
2010
IEEE
107views Robotics» more  ICRA 2010»
13 years 7 months ago
Using stereo for object recognition
— There has been significant progress recently in object recognition research, but many of the current approaches still fail for object classes with few distinctive features, an...
Scott Helmer, David G. Lowe
ICCV
2005
IEEE
14 years 10 months ago
A Maximum Entropy Framework for Part-Based Texture and Object Recognition
This paper presents a probabilistic part-based approach for texture and object recognition. Textures are represented using a part dictionary found by quantizing the appearance of ...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce