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» Unsupervised detection of contours using a statistical model
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NIPS
2003
14 years 11 months ago
ICA-based Clustering of Genes from Microarray Expression Data
We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
Su-In Lee, Serafim Batzoglou
ICANN
2005
Springer
15 years 3 months ago
Learning Features of Intermediate Complexity for the Recognition of Biological Motion
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
Rodrigo Sigala, Thomas Serre, Tomaso Poggio, Marti...
ICST
2009
IEEE
15 years 4 months ago
Predicting Attack-prone Components
GEGICK, MICHAEL CHARLES. Predicting Attack-prone Components with Source Code Static Analyzers. (Under the direction of Laurie Williams). No single vulnerability detection techniqu...
Michael Gegick, Pete Rotella, Laurie A. Williams
CVPR
2008
IEEE
15 years 12 months ago
A hierarchical and contextual model for aerial image understanding
In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
Jake Porway, Kristy Wang, Benjamin Yao, Song Chun ...
ICRA
2003
IEEE
103views Robotics» more  ICRA 2003»
15 years 3 months ago
Automatic detection and response to environmental change
— Robots typically have many sensors which are underutilized. This is usually because no simple mathematical models of the sensors have been developed or the sensors are too nois...
Scott Lenser, Manuela M. Veloso