In this paper, we propose an approach for efficient approximative RkNN search in arbitrary metric spaces where the value of k is specified at query time. Our method uses an approx...
Many previous works on photometric stereo have shown how to recover the shape and reflectance properties of an object using multiple images taken under a fixed viewpoint and variab...
In this paper we present TransUCP, a general framework for transformational analogy. Using our framework we demonstrate that transformational analogy does not meet a crucial condit...
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
With respect to scalability and arbitrary topologies of the underlying networks in multiprogramming and multithread environment, fault tolerance in acknowledged ATAB and concurren...
Yuzhong Sun, Paul Y. S. Cheung, Xiaola Lin, Keqin ...