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» Using a Non-prior Training Active Feature Model
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TOMACS
1998
140views more  TOMACS 1998»
14 years 9 months ago
Technical Note: A Hierarchical Computer Architecture Design and Simulation Environment
architectures at multiple levels of abstraction, encompassing both hardware and software. It has five modes of operation (Design, Model Validation, Build Simulation, Simulate Syste...
Paul S. Coe, Fred W. Howell, Roland N. Ibbett, Lau...
ECCV
2006
Springer
15 years 11 months ago
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker
BMCBI
2006
133views more  BMCBI 2006»
14 years 9 months ago
Choosing negative examples for the prediction of protein-protein interactions
The protein-protein interaction networks of even well-studied model organisms are sketchy at best, highlighting the continued need for computational methods to help direct experim...
Asa Ben-Hur, William Stafford Noble
ECCV
2002
Springer
15 years 11 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto
74
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DISCEX
2003
IEEE
15 years 2 months ago
Detecting Novel Scans Through Pattern Anomaly Detection
We introduce a technique for detecting anomalous patterns in a categorical feature (one that takes values from a finite alphabet). It differs from most anomaly detection methods u...
Alfonso Valdes