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» Surrogate data: A novel approach to object detection
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ICDM
2010
IEEE
199views Data Mining» more  ICDM 2010»
14 years 7 months ago
Addressing Concept-Evolution in Concept-Drifting Data Streams
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
Mohammad M. Masud, Qing Chen, Latifur Khan, Charu ...
CVPR
2011
IEEE
14 years 6 months ago
Learning to Recognize Objects in Egocentric Activities
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
Alireza Fathi, Xiaofeng Ren, James Rehg
CVPR
2009
IEEE
16 years 4 months ago
A Robust Approach for Automatic Registration of Aerial Images with Untextured Aerial LiDAR Data
Airborne LiDAR technology draws increasing interest in large-scale 3D urban modeling in recent years. 3D Li- DAR data typically has no texture information. To generate photo-rea...
Lu Wang, Ulrich Neumann
ICIP
2005
IEEE
15 years 11 months ago
Flame detection in video using hidden Markov models
This paper proposes a novel method to detect flames in video by processing the data generated by an ordinary camera monitoring a scene. In addition to ordinary motion and color cl...
A. Enis Çetin, B. Ugur Töreyin, Yigith...
INFORMATICALT
2008
196views more  INFORMATICALT 2008»
14 years 9 months ago
An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang