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SDM
2008
SIAM
161views Data Mining» more  SDM 2008»
15 years 7 months ago
Efficient Maximum Margin Clustering via Cutting Plane Algorithm
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
Bin Zhao, Fei Wang, Changshui Zhang
CVPR
2010
IEEE
2187views Computer Vision» more  CVPR 2010»
16 years 2 months ago
3D Scene Priors for Road Detection
Vision-based road detection is important in different areas of computer vision such as autonomous driving, car collision warning and pedestrian crossing detection. However, curre...
Jose M. Alvarez, Theo Gevers, Antonio M. Lopez
WSC
1997
15 years 7 months ago
Selective Rerouting Using Simulated Steady State System Data
Effective operational control of a manufacturing system that has routing flexibility is dependent upon being able to make informed real-time decisions in the event of a system dis...
Catherine M. Harmonosky, Robert H. Farr, Ming-Chua...
CHI
1998
ACM
15 years 10 months ago
Insight Lab: An Immersive Team Environment Linking Paper, Displays, and Data
The Insight Lab is an immersive environment designed to support teams who create design requirements documents. Requirements emerge from a deep understanding of a problem domain, ...
Beth M. Lange, Mark A. Jones, James L. Meyers
IJCAI
1989
15 years 7 months ago
An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods
Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previous...
Sholom M. Weiss, Ioannis Kapouleas