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SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
15 years 9 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha
SDM
2007
SIAM
146views Data Mining» more  SDM 2007»
15 years 9 months ago
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonza...
VMV
2008
124views Visualization» more  VMV 2008»
15 years 9 months ago
Augmented Compression for Server-Side Rendering
In this work we recall attention to problems that arise in a client-server setting with server-side rendering and propose a practical method for accelerated high-quality render-st...
Fabian Giesen, Ruwen Schnabel, Reinhard Klein
AAAI
2006
15 years 9 months ago
SEMAPLAN: Combining Planning with Semantic Matching to Achieve Web Service Composition
Composing existing Web services to deliver new functionality is a difficult problem as it involves resolving semantic, syntactic and structural differences among the interfaces of...
Rama Akkiraju, Biplav Srivastava, Anca-Andreea Iva...
AAAI
2006
15 years 9 months ago
Diagnosis of Multi-Robot Coordination Failures Using Distributed CSP Algorithms
With increasing deployment of systems involving multiple coordinating agents, there is a growing need for diagnosing coordination failures in such systems. Previous work presented...
Meir Kalech, Gal A. Kaminka, Amnon Meisels, Yehuda...
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