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ICASSP
2009
IEEE
15 years 4 months ago
Combining VTS model compensation and support vector machines
It is difficult to adapt discriminative classifiers, particularly kernel based ones such as support vector machines (SVMs), to handle mismatches between the training and test da...
Mark J. F. Gales, Federico Flego
ISCAS
2007
IEEE
141views Hardware» more  ISCAS 2007»
15 years 4 months ago
Active Visual Tracking of Heading Direction By Combining Motion Energy Neurons
- We describe a robotic vision system that aligns a camera's optical axis with its direction of translation by estimating the focus of expansion. Visual processing is based on...
Stanley Y. M. Lam, Bertram Emil Shi
AIRS
2008
Springer
15 years 4 months ago
Combining WordNet and ConceptNet for Automatic Query Expansion: A Learning Approach
We present a novel approach that transforms the weighting task to a typical coarse-grained classification problem, aiming to assign appropriate weights for candidate expansion term...
Ming-Hung Hsu, Ming-Feng Tsai, Hsin-Hsi Chen
MCS
2002
Springer
14 years 9 months ago
Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach
The increasing amount and complexity of data in toxicity prediction calls for new approaches based on hybrid intelligent methods for mining the data. This focus is required even mo...
Emilio Benfenati, Paolo Mazzatorta, Daniel Neagu, ...
ECCV
2010
Springer
14 years 8 months ago
Disparity Statistics for Pedestrian Detection: Combining Appearance, Motion and Stereo
Pedestrian detection is an important problem in computer vision due to its importance for applications such as visual surveillance, robotics, and automotive safety. This paper push...
Stefan Walk, Konrad Schindler, Bernt Schiele