Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Segmentation of 3D human body (HB) scan is a very challenging problem in applications exploiting human scan data. To tackle this problem, this paper proposes a topological approac...
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...
In this paper we present an analysis of HTTP traffic captured from Internet caf?es and kiosks from two different developing countries ? Cambodia and Ghana. This paper has two main...
In recent years, exciting technological advances have been made in development of flexible electronics. These technologies offer the opportunity to weave computation, communicat...
Roozbeh Jafari, Foad Dabiri, Philip Brisk, Majid S...