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» On Reduction of Lagrange Systems
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NIPS
2007
15 years 8 months ago
Random Projections for Manifold Learning
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
Chinmay Hegde, Michael B. Wakin, Richard G. Barani...
MASCOTS
2004
15 years 8 months ago
Predicting When Not to Predict
File prefetching based on previous file access patterns has been shown to be an effective means of reducing file system latency by implicitly loading caches with files that are li...
Karl Brandt, Darrell D. E. Long, Ahmed Amer
181
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NIPS
2004
15 years 8 months ago
Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units
It has been suggested that the primary goal of the sensory system is to represent input in such a way as to reduce the high degree of redundancy. Given a noisy neural representati...
Eizaburo Doi, Michael S. Lewicki
JCP
2008
142views more  JCP 2008»
15 years 6 months ago
QoS Aware Query Processing Algorithm for Wireless Sensor Networks
In sensor networks, continuous query is commonly used for collecting periodical data from the objects under monitoring. This sort of queries needs to be carefully designed, in orde...
Jun-Zhao Sun
SPEECH
2008
71views more  SPEECH 2008»
15 years 6 months ago
Unsupervised intra-speaker variability compensation based on Gestalt and model adaptation in speaker verification with telephone
In this paper an unsupervised compensation method based on Gestalt, ISVC, is proposed to address the problem of limited enrolling data and noise robustness in text-dependent speak...
Néstor Becerra Yoma, Claudio Garretó...