Machine learning approaches to indoor WiFi localization involve an offline phase and an online phase. In the offline phase, data are collected from an environment to build a local...
Sinno Jialin Pan, Dou Shen, Qiang Yang, James T. K...
Importance Sampling is a potentially powerful variance reduction technique to speed up simulations where the objective depends on the occurrence of rare events. However, it is cru...
- This paper describes a novel algorithm designed for tamper proofing of 3D models. Fragile watermarking is a known technique for detecting location of tamper in the artwork. Howev...
Mukesh C. Motwani, Balaji Sridharan, Rakhi C. Motw...
Abstract— Regular structures are present in many types of circuits. If this structure can be identified and utilized, performance can be improved dramatically. In this paper, we...
Logic programs under answer-set semantics constitute an important tool for declarative problem solving. In recent years, two research issues received growing attention. On the one ...
Martin Gebser, Torsten Schaub, Hans Tompits, Stefa...