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» Learning to Recognize Objects
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VMV
2008
107views Visualization» more  VMV 2008»
15 years 3 months ago
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
Erik Rodner, Joachim Denzler
CVPR
2009
IEEE
16 years 9 months ago
Recognizing Indoor Scenes
We propose a scheme for indoor place identi cation based on the recognition of global scene views. Scene views are encoded using a holistic representation that provides low-resolu...
Antonio B. Torralba, Ariadna Quattoni
ICPR
2008
IEEE
16 years 3 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
AAAI
2008
15 years 4 months ago
A Fast Data Collection and Augmentation Procedure for Object Recognition
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng
DPC
1996
192views more  DPC 1996»
15 years 3 months ago
Finding Pictures of Objects in Large Collections of Images
Retrieving images from very large collections, using image content as a key, is becoming an important problem. Users prefer to ask for pictures using notions of content that are st...
David A. Forsyth, Jitendra Malik, Thomas K. Leung,...