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VIS
2008
IEEE
135views Visualization» more  VIS 2008»
16 years 5 months ago
Interactive Volume Exploration for Feature Detection and Quantification in Industrial CT Data
This paper presents a novel method for interactive exploration of industrial CT volumes such as cast metal parts, with the goal of interactively detecting, classifying, and quantif...
Markus Hadwiger, Laura Fritz, Christof Rezk-Sala...
156
Voted
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
15 years 6 months ago
Leveraging user query log: toward improving image data clustering
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
Hao Cheng, Kien A. Hua, Khanh Vu
DOLAP
2004
ACM
15 years 10 months ago
An analysis of additivity in OLAP systems
Accurate summary data is of paramount concern in data warehouse systems; however, there have been few attempts to completely characterize the ability to summarize measures. The su...
John Horner, Il-Yeol Song, Peter P. Chen
145
Voted
ICTAI
2009
IEEE
15 years 2 months ago
Real-Valued Feature Selection by Mutual Information of Order 2
The selection of features for classification, clustering and approximation is an important task in pattern recognition, data mining and soft computing. For real-valued features, th...
Rüdiger W. Brause
ICWSM
2009
15 years 2 months ago
Delta TFIDF: An Improved Feature Space for Sentiment Analysis
Mining opinions and sentiment from social networking sites is a popular application for social media systems. Common approaches use a machine learning system with a bag of words f...
Justin Martineau, Tim Finin