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CVIU
2007
113views more  CVIU 2007»
13 years 8 months ago
Primal sketch: Integrating structure and texture
This article proposes a generative image model, which is called ‘‘primal sketch,’’ following Marr’s insight and terminology. This model combines two prominent classes of...
Cheng-en Guo, Song Chun Zhu, Ying Nian Wu
NIPS
2008
13 years 10 months ago
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
Randomized neural networks are immortalized in this well-known AI Koan: In the days when Sussman was a novice, Minsky once came to him as he sat hacking at the PDP-6. "What a...
Ali Rahimi, Benjamin Recht
KDD
2003
ACM
127views Data Mining» more  KDD 2003»
14 years 9 months ago
Experiments with random projections for machine learning
Dimensionality reduction via Random Projections has attracted considerable attention in recent years. The approach has interesting theoretical underpinnings and offers computation...
Dmitriy Fradkin, David Madigan
ADHOC
2006
97views more  ADHOC 2006»
13 years 9 months ago
A probabilistic algorithm for efficient and robust data propagation in wireless sensor networks
We study the problem of data propagation in sensor networks, comprised of a large number of very small and low-cost nodes, capable of sensing, communicating and computing. The dis...
Ioannis Chatzigiannakis, Tassos Dimitriou, Sotiris...
JOC
2006
71views more  JOC 2006»
13 years 8 months ago
Private Computation: k-Connected versus 1-Connected Networks
We study the role of connectivity of communication networks in private computations under information theoretic settings. It will be shown that some functions can be computed by pr...
Markus Bläser, Andreas Jakoby, Maciej Liskiew...