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» Evaluating algorithms that learn from data streams
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ISWC
2006
IEEE
16 years 15 days ago
Towards Less Supervision in Activity Recognition from Wearable Sensors
Activity Recognition has gained a lot of interest in recent years due to its potential and usefulness for context-aware wearable computing. However, most approaches for activity r...
Tâm Huynh, Bernt Schiele
ICDCS
2010
IEEE
15 years 10 months ago
A Hybrid Approach to High Availability in Stream Processing Systems
Abstract—Stream processing is widely used by today’s applications such as financial data analysis and disaster response. In distributed stream processing systems, machine fail...
Zhe Zhang, Yu Gu, Fan Ye, Hao Yang, Minkyong Kim, ...
MM
2005
ACM
184views Multimedia» more  MM 2005»
16 years 1 days ago
A peer-to-peer network for live media streaming using a push-pull approach
In this paper, we present an unstructured peer-to-peer network called GridMedia for live media streaming employing a push-pull approach. Each node in GridMedia randomly selects it...
Meng Zhang, Jian-Guang Luo, Li Zhao, Shi-Qiang Yan...
NETWORKING
2007
15 years 8 months ago
Detecting 802.11 Wireless Hosts from Remote Passive Observations
Abstract. The wide deployment of 802.11 WLANs has led to the coexistence of wired and wireless clients in a network environment. This paper presents a robust technique to detect 80...
Valeria Baiamonte, Konstantina Papagiannaki, Gianl...
KDD
2004
ACM
198views Data Mining» more  KDD 2004»
15 years 12 months ago
Mining traffic data from probe-car system for travel time prediction
We are developing a technique to predict travel time of a vehicle for an objective road section, based on real time traffic data collected through a probe-car system. In the area ...
Takayuki Nakata, Jun-ichi Takeuchi