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ICCV
2009
IEEE
1038views Computer Vision» more  ICCV 2009»
15 years 19 days ago
Combining efficient object localization and image classification
In this paper we present a combined approach for ob- ject localization and classification. Our contribution is two- fold. (a) A contextual combination of localization and clas- ...
Hedi Harzallah, Frederic Jurie, Cordelia Schmid
IDEAL
2005
Springer
14 years 1 months ago
Evolving Neural Networks for the Classification of Malignancy Associated Changes
Malignancy Associated Changes are subtle changes to the nuclear texture of visually normal cells in the vicinity of a cancerous or precancerous lesion. We describe a classifier for...
Jennifer Hallinan
ESANN
2006
13 years 9 months ago
Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
Tong Boon Tang, Alan F. Murray
NECO
2010
101views more  NECO 2010»
13 years 2 months ago
Large-Margin Classification in Infinite Neural Networks
We introduce a new family of positive-definite kernels for large margin classification in support vector machines (SVMs). These kernels mimic the computation in large neural netwo...
Youngmin Cho, Lawrence K. Saul
ICIP
2009
IEEE
14 years 8 months ago
Gender Classification In Uncontrolled Settings Using Additive Logistic Models
Many previous studies have investigated gender classification in well-lit frontal images. In this paper we consider images where the pose, expression and lighting are relatively u...