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CASES
2004
ACM
15 years 3 months ago
A low power architecture for embedded perception
Recognizing speech, gestures, and visual features are important interface capabilities for future embedded mobile systems. Unfortunately, the real-time performance requirements of...
Binu K. Mathew, Al Davis, Michael Parker
ICMCS
2009
IEEE
115views Multimedia» more  ICMCS 2009»
14 years 7 months ago
A framework to detect and classify activity transitions in low-power applications
Minimizing the number of computations a low-power device makes is important to achieve long battery life. In this paper we present a framework for a low-power device to minimize t...
Jeffrey Boyd, Hari Sundaram
ROBOCUP
2004
Springer
103views Robotics» more  ROBOCUP 2004»
15 years 3 months ago
A Constructive Feature Detection Approach for Robotic Vision
We describe a new method for detecting features on a marked RoboCup field. We implemented the framework for robots with omnidirectional vision, but the method can be easily adapte...
Felix von Hundelshausen, Michael Schreiber, Ra&uac...
PAKDD
2005
ACM
112views Data Mining» more  PAKDD 2005»
15 years 3 months ago
Approximated Clustering of Distributed High-Dimensional Data
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
ICTAI
2006
IEEE
15 years 3 months ago
On the Relationships between Clustering and Spatial Co-location Pattern Mining
The goal of spatial co-location pattern mining is to find subsets of spatial features frequently located together in spatial proximity. Example co-location patterns include servi...
Yan Huang, Pusheng Zhang