This paper proposes two new methods for optimizing objectives and constraints. The GP approach is very general and hardware resources in finite wordlength implementation of it allo...
The purposes of this paper are to show how the development and procurement processes are affected by accountants and to consider what human factors knowledge accountants should ha...
Amtoft has formulated an "on-line" constraint normalization method for solving a strictness inference problem inspired by Wright. From the syntactic form of the normaliz...
This paper describes a discriminatively trained, multiscale, deformable part model for object detection. Our system achieves a two-fold improvement in average precision over the b...
Pedro F. Felzenszwalb, David A. McAllester, Deva R...
This paper introduces a flexible learning approach for image retrieval with relevance feedback. A semantic repository is constructed offline by applying the k-nearest-neighborbase...