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ICDM
2006
IEEE
116views Data Mining» more  ICDM 2006»
14 years 3 months ago
Improving Personalization Solutions through Optimal Segmentation of Customer Bases
On the Web, where the search costs are low and the competition is just a mouse click away, it is crucial to segment the customers intelligently in order to offer more targeted and...
Tianyi Jiang, Alexander Tuzhilin
COLING
2010
13 years 4 months ago
A Vector Space Model for Subjectivity Classification in Urdu aided by Co-Training
The goal of this work is to produce a classifier that can distinguish subjective sentences from objective sentences for the Urdu language. The amount of labeled data required for ...
Smruthi Mukund, Rohini K. Srihari
ICASSP
2011
IEEE
13 years 25 days ago
Discriminant binary data representation for speaker recognition
In supervector UBM/GMM paradigm, each acoustic file is represented by the mean parameters of a GMM model. This supervector space is used as a data representation space, which has...
Jean-François Bonastre, Pierre-Michel Bousq...
JMM2
2007
122views more  JMM2 2007»
13 years 9 months ago
Hierarchical Model-Based Activity Recognition With Automatic Low-Level State Discovery
Abstract— Activity recognition in video streams is increasingly important for both the computer vision and artificial intelligence communities. Activity recognition has many app...
Justin Muncaster, Yunqian Ma
MICCAI
2009
Springer
14 years 10 months ago
Fast and Robust 3-D MRI Brain Structure Segmentation
We present a novel method for the automatic detection and segmentation of (sub-)cortical gray matter structures in 3-D magnetic resonance images of the human brain. Essentially, th...
Michael Wels, Yefeng Zheng, Gustavo Carneiro, M...