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» Algorithmic randomness of continuous functions
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CVPR
2010
IEEE
15 years 12 months ago
Weakly-Supervised Hashing in Kernel Space
The explosive growth of the vision data motivates the recent studies on efficient data indexing methods such as locality-sensitive hashing (LSH). Most existing approaches perform...
Yadong Mu, Jialie Shen, Shuicheng Yan
ICA
2004
Springer
15 years 11 months ago
Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources
Abstract. We present an approach for blindly decomposing an observed random vector x into f(As) where f is a diagonal function i.e. f = f1 × . . . × fm with one-dimensional funct...
Fabian J. Theis, Shun-ichi Amari
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 6 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
SC
2005
ACM
15 years 12 months ago
A Power-Aware Run-Time System for High-Performance Computing
For decades, the high-performance computing (HPC) community has focused on performance, where performance is defined as speed. To achieve better performance per compute node, mic...
Chung-Hsing Hsu, Wu-chun Feng
TSP
2008
166views more  TSP 2008»
15 years 6 months ago
Nonuniform Sampling of Periodic Bandlimited Signals
Abstract--Digital processing techniques are based on representing a continuous-time signal by a discrete set of samples. This paper treats the problem of reconstructing a periodic ...
E. Margolis, Yonina C. Eldar