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NIPS
2003
15 years 8 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
TPDS
2010
155views more  TPDS 2010»
15 years 5 months ago
Cooperative Caching in Wireless P2P Networks: Design, Implementation, and Evaluation
—Some recent studies have shown that cooperative cache can improve the system performance in wireless P2P networks such as ad hoc networks and mesh networks. However, all these s...
Jing Zhao, Ping Zhang, Guohong Cao, Chita R. Das
ICRA
2009
IEEE
178views Robotics» more  ICRA 2009»
15 years 4 months ago
A riemannian-geometry approach for dynamics and control of object manipulation under constraints
A Riemannian-geometry approach for control and stabilization of dynamics of object manipulation under holonomic or non-holonomic (but Pfaffian) constraints is presented. First, pos...
Suguru Arimoto, Morio Yoshida, Masahiro Sekimoto, ...
JMLR
2011
148views more  JMLR 2011»
15 years 1 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
TVCG
2011
198views more  TVCG 2011»
15 years 1 months ago
Forecasting Hotspots - A Predictive Analytics Approach
—Current visual analytics systems provide users with the means to explore trends in their data. Linked views and interactive displays provide insight into correlations among peop...
Ross Maciejewski, Ryan Hafen, Stephen Rudolph, Ste...