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» Approximation Algorithms for 2-Stage Stochastic Optimization...
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STOC
2009
ACM
160views Algorithms» more  STOC 2009»
14 years 8 months ago
CSP gaps and reductions in the lasserre hierarchy
We study integrality gaps for SDP relaxations of constraint satisfaction problems, in the hierarchy of SDPs defined by Lasserre. Schoenebeck [25] recently showed the first integra...
Madhur Tulsiani
ICIP
2005
IEEE
14 years 9 months ago
Effective rate control method for minimizing temporal fluctuations in picture quality applicable for MPEG-4 AVC/H.264 encoding
Appropriate rate control plays a very important role in encoding motion pictures under the constant bit-rate. One of the requirements for rate control is minimizing temporal fluct...
Atsushi Matsumura, Sei Naito, Ryoichi Kawada, Atsu...
ICDM
2006
IEEE
225views Data Mining» more  ICDM 2006»
14 years 2 months ago
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
ICDE
2011
IEEE
207views Database» more  ICDE 2011»
12 years 11 months ago
Monte Carlo query processing of uncertain multidimensional array data
— Array database systems are architected for scientific and engineering applications. In these applications, the value of a cell is often imprecise and uncertain. There are at le...
Tingjian Ge, David Grabiner, Stanley B. Zdonik
ICMLA
2010
13 years 6 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft