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IJCV
2007
196views more  IJCV 2007»
13 years 10 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
ICRA
2008
IEEE
288views Robotics» more  ICRA 2008»
14 years 4 months ago
Human tracking and segmentation supported by silhouette-based gait recognition
— Gait recognition has recently gained attention as an effective approach to identify individuals at a distance from a camera. Most existing gait recognition algorithms assume th...
Junqiu Wang, Yasushi Makihara, Yasushi Yagi
ICASSP
2010
IEEE
13 years 10 months ago
Large margin estimation of n-gram language models for speech recognition via linear programming
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...
Vladimir Magdin, Hui Jiang
DAGM
2003
Springer
14 years 3 months ago
Training and Recognition of Complex Scenes Using a Holistic Statistical Model
We present a holistic statistical model for the automatic analysis of complex scenes. Here, holistic refers to an integrated approach that does not take local decisions about segme...
Daniel Keysers, Michael Motter, Thomas Deselaers, ...
ICRA
2008
IEEE
133views Robotics» more  ICRA 2008»
14 years 4 months ago
Object separation using active methods and multi-view representations
— Daily life objects reveal natural similarities, which cannot be resolved with the perception of a single view. In this paper, we present an approach for object separation using...
Kai Welke, Tamim Asfour, Rüdiger Dillmann