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PAKDD
2010
ACM
215views Data Mining» more  PAKDD 2010»
15 years 8 months ago
Mining Closed Episodes from Event Sequences Efficiently
Recent studies have proposed different methods for mining frequent episodes. In this work, we study the problem of mining closed episodes based on minimal occurrences. We study the...
Wenzhi Zhou, Hongyan Liu, Hong Cheng
NIPS
2003
15 years 7 months ago
Online Learning of Non-stationary Sequences
We consider an online learning scenario in which the learner can make predictions on the basis of a fixed set of experts. We derive upper and lower relative loss bounds for a cla...
Claire Monteleoni, Tommi Jaakkola
WADS
2001
Springer
182views Algorithms» more  WADS 2001»
15 years 10 months ago
On the Complexity of Scheduling Conditional Real-Time Code
Abstract. Many real-time embedded systems involve a collection of independently executing event-driven code blocks, having hard real-time constraints. Portions of such codes when t...
Samarjit Chakraborty, Thomas Erlebach, Lothar Thie...
ICIAR
2007
Springer
16 years 10 days ago
Color-Based Road Sign Detection and Tracking
This paper describes a general framework for the detection and tracking of traffic and road signs from image sequences using only color information. The approach consists of two in...
Luis David Lopez, Olac Fuentes
MVA
2007
150views Computer Vision» more  MVA 2007»
15 years 7 months ago
Detecting the Degree of Anomal in Security Video
We have developed a method that can discriminate anomalous image sequences for more efficiently utilizing security videos. To match the wide popularity of security cameras, the me...
Kyoko Sudo, Tatsuya Osawa, Xiaojun Wu, Kaoru Wakab...