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» Smoothness, Low-Noise and Fast Rates
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VC
2010
217views more  VC 2010»
13 years 4 months ago
Solving the Shallow Water equations using 2D SPH particles for interactive applications
In this paper, we introduce a 2D particle-based approach to achieve realistic water surface behaviors for interactive applications. We formulate 2D particle-based Shallow Water equ...
Hyokwang Lee, Soonhung Han
ICDM
2009
IEEE
149views Data Mining» more  ICDM 2009»
14 years 13 days ago
Accelerated Gradient Method for Multi-task Sparse Learning Problem
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...
Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbon...
PERCOM
2008
ACM
14 years 5 months ago
ReMo : An Energy Efficient Reprogramming Protocol for Mobile Sensor Networks
Existing code update protocols for reprogramming nodes in a sensor network are either unsuitable or inefficient when used in a mobile environment. The prohibitive factor of uncert...
Pradip De, Yonghe Liu, Sajal K. Das
MOBIDE
2006
ACM
13 years 11 months ago
Towards correcting input data errors probabilistically using integrity constraints
Mobile and pervasive applications frequently rely on devices such as RFID antennas or sensors (light, temperature, motion) to provide them information about the physical world. Th...
Nodira Khoussainova, Magdalena Balazinska, Dan Suc...
SDM
2007
SIAM
104views Data Mining» more  SDM 2007»
13 years 7 months ago
Boosting Optimal Logical Patterns Using Noisy Data
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
Noam Goldberg, Chung-chieh Shan