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» Using a Non-prior Training Active Feature Model
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CVPR
2004
IEEE
16 years 5 months ago
Learning Distance Functions for Image Retrieval
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
138
Voted
CSB
2005
IEEE
165views Bioinformatics» more  CSB 2005»
15 years 5 months ago
Sequential Diagonal Linear Discriminant Analysis (SeqDLDA) for Microarray Classification and Gene Identification
In microarray classification we are faced with a very large number of features and very few training samples. This is a challenge for classical Linear Discriminant Analysis (LDA),...
Roger Pique-Regi, Antonio Ortega, Shahab Asgharzad...
145
Voted
TOG
2012
193views Communications» more  TOG 2012»
13 years 5 months ago
Schelling points on 3D surface meshes
This paper investigates “Schelling points” on 3D meshes, feature points selected by people in a pure coordination game due to their salience. To collect data for this investig...
Xiaobai Chen, Abulhair Saparov, Bill Pang, Thomas ...
ICML
2007
IEEE
16 years 4 months ago
Simple, robust, scalable semi-supervised learning via expectation regularization
Although semi-supervised learning has been an active area of research, its use in deployed applications is still relatively rare because the methods are often difficult to impleme...
Gideon S. Mann, Andrew McCallum
ICPADS
1996
IEEE
15 years 7 months ago
Transactional programming for distributed agent systems
A new multiagent programmingparadigm based on the transactional logic model' is developed. This paradigm enables us to construct a Distributed agent transactional program (DA...
V. K. Murthy