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» Learning Semantic Scene Models by Trajectory Analysis
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CHI
1999
ACM
15 years 1 months ago
Learning and Performing by Exploration: Label Quality Measured by Latent Semantic Analysis
Models of learning and performing by exploration assume that the semantic distance between task descriptions and screen labels controls in part the usersÕ search strategies. Neve...
Rodolfo Soto
ASC
2007
14 years 9 months ago
An approximate stability analysis of nonlinear systems described by Universal Learning Networks
Stability is one of the most important subjects in control systems. As for the stability of nonlinear dynamical systems, Lyapunov’s direct method and linearized stability analys...
Kotaro Hirasawa, Shingo Mabu, Shinji Eto, Jinglu H...
MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 3 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang
ECCV
2010
Springer
15 years 2 months ago
Cascaded Confidence Filtering for Improved Tracking-by-Detection
We propose a novel approach to increase the robustness of object detection algorithms in surveillance scenarios. The cascaded confidence filter successively incorporates constraint...
TIP
2008
90views more  TIP 2008»
14 years 9 months ago
Synthetic Aperture Hitchhiker Imaging
We introduce a novel synthetic-aperture imaging method for radar systems that rely on sources of opportunity. We consider receivers that fly along arbitrary, but known, flight traj...
Can Evren Yarman, Birsen Yazici