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» Adaptivity through Unobstrusive Learning
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PAKDD
2005
ACM
168views Data Mining» more  PAKDD 2005»
13 years 10 months ago
Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
Junping Zhang, Stan Z. Li
AIPR
2004
IEEE
13 years 8 months ago
Adaptive Road Detection through Continuous Environment Learning
The Intelligent Systems Division of the National Institute of Standards and Technology has been engaged for several years in developing real-time systems for autonomous driving. A...
Mike Foedisch, Aya Takeuchi
AAAI
2007
13 years 7 months ago
Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning
Accurately locating users in a wireless environment is an important task for many pervasive computing and AI applications, such as activity recognition. In a WiFi environment, a m...
Sinno Jialin Pan, James T. Kwok, Qiang Yang, Jeffr...
SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
13 years 6 months ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang