Insect species recognition is a typical application of image categorization and object recognition. Unlike generic image categorization datasets (such as the Caltech 101 dataset) ...
We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...
In this paper we propose a robust method for recognition and pose determination of 3-D objects using range images in the eigenspace approach. Instead of computing the coefficients...
There have been important recent advances in object recognition through the matching of invariant local image features. However, the existing approaches are based on matching to i...
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...