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» Using a Non-prior Training Active Feature Model
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KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 5 months ago
Effective multi-label active learning for text classification
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Ch...
ACL
2010
15 years 2 months ago
Open-Domain Semantic Role Labeling by Modeling Word Spans
Most supervised language processing systems show a significant drop-off in performance when they are tested on text that comes from a domain significantly different from the domai...
Fei Huang, Alexander Yates
VIP
2003
15 years 5 months ago
Using Dual Cascading Learning Frameworks for Image Indexing
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
Joo-Hwee Lim, Jesse S. Jin
MVA
2008
159views Computer Vision» more  MVA 2008»
15 years 4 months ago
Coopetitive multi-camera surveillance using model predictive control
We present a generic framework for enhanced active multi-sensing. We propose a coopetitive interaction approach, which combines the salient features of cooperation and competition ...
Vivek K. Singh, Pradeep K. Atrey, Mohan S. Kankanh...
108
Voted
INTERACT
2007
15 years 5 months ago
Motivational Needs-Driven Mobile Phone Design
This paper provides support for the use of motivational needs in identifying mobile phone uses and related features. Drawing on motivational human and usage space research, the fin...
Judy van Biljon, Paula Kotzé, Gary Marsden