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» Convex Programming Methods for Global Optimization
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NIPS
2008
13 years 9 months ago
Multi-label Multiple Kernel Learning
We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...
Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye
INFOCOM
2011
IEEE
12 years 11 months ago
Consort: Node-Constrained Opportunistic Routing in wireless mesh networks
— Opportunistic routing is proposed to improve the performance of wireless networks by exploiting the broadcast nature and spatial diversity of the wireless medium. In this paper...
Xi Fang, Dejun Yang, Guoliang Xue
TOG
2012
181views Communications» more  TOG 2012»
11 years 10 months ago
Soft body locomotion
We present a physically-based system to simulate and control the locomotion of soft body characters without skeletons. We use the finite element method to simulate the deformatio...
Jie Tan, Greg Turk, C. Karen Liu
SMA
2009
ACM
223views Solid Modeling» more  SMA 2009»
14 years 2 months ago
Particle-based forecast mechanism for continuous collision detection in deformable environments
Collision detection in geometrically complex scenes is crucial in physical simulations and real time applications. Works based on spatial hierarchical structures have been propose...
Thomas Jund, David Cazier, Jean-François Du...
CASES
2003
ACM
14 years 24 days ago
Compiler-decided dynamic memory allocation for scratch-pad based embedded systems
This paper presents a highly predictable, low overhead and yet dynamic, memory allocation strategy for embedded systems with scratch-pad memory. A scratch-pad is a fast compiler-m...
Sumesh Udayakumaran, Rajeev Barua