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CORR
2011
Springer
210views Education» more  CORR 2011»
13 years 3 months ago
Statistical Compressed Sensing of Gaussian Mixture Models
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
Guoshen Yu, Guillermo Sapiro
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
14 years 8 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
ACSW
2004
13 years 10 months ago
Cost-Efficient Mining Techniques for Data Streams
A data stream is a continuous and high-speed flow of data items. High speed refers to the phenomenon that the data rate is high relative to the computational power. The increasing...
Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady...
WADS
1997
Springer
91views Algorithms» more  WADS 1997»
14 years 18 days ago
Dynamic Motion Planning in Low Obstacle Density Environments
A fundamental task for an autonomous robot is to plan its own motions. Exact approaches to the solution of this motion planning problem suffer from high worst-case running times. ...
Robert-Paul Berretty, Mark H. Overmars, A. Frank v...
AAIM
2007
Springer
151views Algorithms» more  AAIM 2007»
14 years 2 months ago
Acyclic Edge Colouring of Outerplanar Graphs
An acyclic edge colouring of a graph is a proper edge colouring having no 2-coloured cycle, that is, a colouring in which the union of any two colour classes forms a linear forest...
Rahul Muthu, N. Narayanan, C. R. Subramanian