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CVPR
2007
IEEE
14 years 9 months ago
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data
A popular approach to problems in image classification is to represent the image as a bag of visual words and then employ a classifier to categorize the image. Unfortunately, a si...
Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukt...
ICIP
2001
IEEE
14 years 9 months ago
Minimum discrimination information clustering: modeling and quantization with Gauss mixtures
Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximatea large cla...
Robert M. Gray, John C. Young, Anuradha K. Aiyer
CVPR
2012
IEEE
11 years 10 months ago
Linear discriminative image processing operator analysis
In this paper, we propose a method to select a discriminative set of image processing operations for Linear Discriminant Analysis (LDA) as an application of the use of generating ...
Toru Tamaki, Bingzhi Yuan, Kengo Harada, Bisser Ra...
CICLING
2009
Springer
14 years 8 months ago
Improved Unsupervised Name Discrimination with Very Wide Bigrams and Automatic Cluster Stopping
We cast name discrimination as a problem in clustering short contexts. Each occurrence of an ambiguous name is treated independently, and represented using second?order context vec...
Ted Pedersen
CVPR
2010
IEEE
14 years 4 months ago
Discriminative Clustering for Image Co-segmentation
Purely bottom-up, unsupervised segmentation of a single image into two segments remains a challenging task for computer vision. The co-segmentation problem is the process of joi...
Armand Joulin, Francis Bach, Jean Ponce