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DAGM
2007
Springer
13 years 11 months ago
Efficient Learning of Neural Networks with Evolutionary Algorithms
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...
Nils T. Siebel, Jochen Krause, Gerald Sommer
ECCV
2006
Springer
14 years 9 months ago
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
David J. Crandall, Daniel P. Huttenlocher
ICIP
2010
IEEE
13 years 5 months ago
An integer programming approach to visual compliance
Visual compliance has emerged as a new paradigm to ensure that employees comply with processes and policies in a business context [1]. In this paper, we focus on videos from retai...
Lei Ding, Quanfu Fan, Sharath Pankanti
ICIP
1999
IEEE
14 years 9 months ago
Trainable Pedestrian Detection
Robust, fast object detection systems are critical to the success of next-generation automotive vision systems. An important criteria is that the detection system be easily config...
Constantine Papageorgiou, Tomaso Poggio
CVPR
2010
IEEE
14 years 7 days ago
Visual Recognition using Mappings that Replicate Margins
We consider the problem of learning to map between two vector spaces given pairs of matching vectors, one from each space. This problem naturally arises in numerous vision problem...
Lior Wolf, Nathan Manor