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ICPR
2002
IEEE
14 years 9 days ago
Feasibility of Hough-Transform-Based Iris Localisation for Real-Time-Application
We present a fast method for locating iris features in frontal face images based on the Hough transform. It consists of an initial iris detection step and a tracking step which us...
Klaus D. Tönnies, Frank Behrens, Melanie Aurn...
SENSYS
2006
ACM
14 years 1 months ago
Capturing high-frequency phenomena using a bandwidth-limited sensor network
Small-form-factor, low-power wireless sensors—motes—are convenient to deploy, but lack the bandwidth to capture and transmit raw high-frequency data, such as human voices or n...
Ben Greenstein, Christopher Mar, Alex Pesterev, Sh...
JSAC
2007
128views more  JSAC 2007»
13 years 7 months ago
Understanding the Power of Pull-Based Streaming Protocol: Can We Do Better?
— Most of the real deployed peer-to-peer streaming systems adopt pull-based streaming protocol. In this paper, we demonstrate that, besides simplicity and robustness, with proper...
Meng Zhang, Qian Zhang, Lifeng Sun, Shiqiang Yang
MOBISYS
2011
ACM
12 years 10 months ago
Indoor localization without infrastructure using the acoustic background spectrum
We introduce a new technique for determining a mobile phone’s indoor location even when Wi-Fi infrastructure is unavailable or sparse. Our technique is based on a new ambient so...
Stephen P. Tarzia, Peter A. Dinda, Robert P. Dick,...
ESANN
2007
13 years 8 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann