— We propose a learning algorithm for estimating the 3-D orientation of objects. Orientation learning is a difficult problem because the space of orientations is non-Euclidean, ...
In mobile collaborative applications, collaborators may move across heterogeneous environments. This paper proposes object models for seamless transition of collaborators across h...
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
Abstract. In this study we show that humans are able to form a perceptual space from a complex, three-dimensional shape space that is highly congruent to the physical object space ...
Novikov and Kiselev [7] proposed an authentication method of a user from a remote autonomous object. Recently, Yang et al. [12] and Awasthi [1] have pointed out that the Novikov-K...