Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
In this paper we present an opinion summarization technique in spoken dialogue systems. Opinion mining has been well studied for years, but very few have considered its applicatio...
Future microprocessors need low-cost solutions for reliable operation in the presence of failure-prone devices. A promising approach is to detect hardware faults by deploying low-...
Siva Kumar Sastry Hari, Sarita V. Adve, Helia Naei...
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
All surfaces can be classified by the conformal equivalence
relation. Conformal invariants, which are shape indices
that can be defined intrinsically on a surface, may
be used t...
Paul M. Thompson, Tony F. Chan, Xianfeng Gu, Yalin...