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ICMLA
2007
13 years 10 months ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio
MASCOTS
2007
13 years 10 months ago
Improving the Performance of Passive Network Monitoring Applications using Locality Buffering
—In this paper, we present a novel approach for improving the performance of a large class of CPU and memory intensive passive network monitoring applications, such as intrusion ...
Antonis Papadogiannakis, Demetres Antoniades, Mich...
RIVF
2008
13 years 10 months ago
Unsupervised learning for image classification based on distribution of hierarchical feature tree
The classification image into one of several categories is a problem arisen naturally under a wide range of circumstances. In this paper, we present a novel unsupervised model for ...
Thach-Thao Duong, Joo-Hwee Lim, Hai-Quan Vu, Jean-...
IJCAI
2001
13 years 10 months ago
Complexity of Probabilistic Planning under Average Rewards
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
Jussi Rintanen
IJCAI
2003
13 years 10 months ago
LADDER: A Language to Describe Drawing, Display, and Editing in Sketch Recognition
We have created LADDER, the first language to describe how sketched diagrams in a domain are drawn, displayed, and edited. The difficulty in creating such a language is choosing...
Tracy Hammond, Randall Davis