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NIPS
2000
13 years 10 months ago
Learning and Tracking Cyclic Human Motion
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black...
ICDM
2007
IEEE
180views Data Mining» more  ICDM 2007»
14 years 3 months ago
Mining Frequent Itemsets in a Stream
We study the problem of finding frequent itemsets in a continuous stream of transactions. The current frequency of an itemset in a stream is defined as its maximal frequency ove...
Toon Calders, Nele Dexters, Bart Goethals
ICMCS
2006
IEEE
118views Multimedia» more  ICMCS 2006»
14 years 3 months ago
An Improved Resource Reservation Algorithm for IEEE 802.15.3
In this paper, we propose an improved resource reservation algorithm ESRPT (Enhanced Shortest Remaining Processing Time) for bursty traffic based on IEEE 802.15.3 standard. In thi...
Xin Liu, Qionghai Dai, Qiufeng Wu
ISAAC
2009
Springer
101views Algorithms» more  ISAAC 2009»
14 years 3 months ago
Maintaining Nets and Net Trees under Incremental Motion
The problem of maintaining geometric structures for points in motion has been well studied over the years. Much theoretical work to date has been based on the assumption that point...
Minkyoung Cho, David M. Mount, Eunhui Park
ICDCS
2006
IEEE
14 years 3 months ago
Adaptive Control of Extreme-scale Stream Processing Systems
Abstract— Distributed stream processing systems offer a highly scalable and dynamically configurable platform for time-critical applications ranging from real-time, exploratory ...
Lisa Amini, Navendu Jain, Anshul Sehgal, Jeremy Si...