Matching local features across images is often useful when comparing or recognizing objects or scenes, and efficient techniques for obtaining image-to-image correspondences have b...
Camera calibration is a primary crucial step in many computer vision tasks. In this paper we present a new neural approach for camera calibration. Unlike some existing neural appr...
We consider ranking and clustering problems related to the aggregation of inconsistent information. Ailon, Charikar, and Newman [1] proposed randomized constant factor approximatio...
– Efficient data retrieval in a peer-to-peer system like Freenet is a challenging problem. In this paper we study the impact of cache replacement policy on the performance of Fre...
This paper reports on an empirical evaluation of the fault-detecting ability of two white-box software testing techniques: decision coverage (branch testing) and the all-uses data...