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» An algorithmic framework for network reconstruction
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ICRA
2007
IEEE
165views Robotics» more  ICRA 2007»
15 years 6 months ago
Adaptive Sampling for Estimating a Scalar Field using a Robotic Boat and a Sensor Network
Abstract— This paper introduces an adaptive sampling algorithm for a mobile sensor network to estimate a scalar field. The sensor network consists of static nodes and one mobile...
Bin Zhang, Gaurav S. Sukhatme
188
Voted
SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
15 years 12 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
NIPS
2007
15 years 1 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
ICCV
2001
IEEE
16 years 1 months ago
Stereoscopic Segmentation
We cast the problem of multiframe stereo reconstruction of a smooth shape as the global region segmentation of a collection of images of the scene. Dually, the problem of segmenti...
Anthony J. Yezzi, Stefano Soatto
RECOMB
2010
Springer
15 years 1 months ago
An Algorithmic Framework for Predicting Side-Effects of Drugs
Abstract. One of the critical stages in drug development is the identification of potential side effects for promising drug leads. Large scale clinical experiments aimed at discove...
Nir Atias, Roded Sharan