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» Adaptive Learning from Evolving Data Streams
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135
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KDD
2004
ACM
196views Data Mining» more  KDD 2004»
16 years 4 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
131
Voted
IROS
2006
IEEE
148views Robotics» more  IROS 2006»
15 years 9 months ago
Environment Understanding: Robust Feature Extraction from Range Sensor Data
— This paper proposes an approach allowing indoor environment supervised learning to recognize relevant features for environment understanding. Stochastic preprocessing methods i...
Antonio Romeo, Luis Montano
128
Voted
ICMCS
2006
IEEE
149views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Authenticating Multimedia Transmitted Over Wireless Networks: A Content-Aware Stream-Level Approach
We propose in this paper a novel content-aware stream-level approach to authenticating multimedia data transmitted over wireless networks. The proposed approach is fundamentally d...
Zhi Li, Yong Lian, Qibin Sun, Chang Chen
CVPR
2007
IEEE
16 years 5 months ago
Learning Color Names from Real-World Images
Within a computer vision context color naming is the action of assigning linguistic color labels to image pixels. In general, research on color naming applies the following paradi...
Joost van de Weijer, Cordelia Schmid, Jakob J. Ver...
117
Voted
NIPS
2004
15 years 5 months ago
Adaptive Manifold Learning
Recently, there have been several advances in the machine learning and pattern recognition communities for developing manifold learning algorithms to construct nonlinear low-dimen...
Jing Wang, Zhenyue Zhang, Hongyuan Zha