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» Measuring Aesthetics for Information Visualization
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131
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CVPR
2000
IEEE
16 years 6 months ago
Improving Visual Matching
Many visual matching algorithms can be described in terms of the features and the inter-feature distance or metric. The most commonly used metric is the sum of squared di erences ...
Michael S. Lew, Nicu Sebe, Thomas S. Huang
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 5 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan
BMCBI
2008
128views more  BMCBI 2008»
15 years 4 months ago
An efficient visualization tool for the analysis of protein mutation matrices
Background: It is useful to develop a tool that would effectively describe protein mutation matrices specifically geared towards the identification of mutations that produce eithe...
Maria Pamela C. David, Carlo M. Lapid, Vincent Ric...
CHI
2009
ACM
16 years 5 months ago
The design of ViVA: a mixed-initiative visual vocabulary for aphasia
In this paper, we present the design of ViVA, a visual vocabulary for aphasia. Aphasia is an acquired language disorder that causes variability of impairments affecting individual...
Sonya S. Nikolova, Jordan L. Boyd-Graber, Perry R....
CIVR
2009
Springer
253views Image Analysis» more  CIVR 2009»
15 years 11 months ago
Spatial extensions to bag of visual words
The Bag of Visual Words (BoV) paradigm has successfully been applied to image content analysis tasks such as image classification and object detection. The basic BoV approach ove...
Ville Viitaniemi, Jorma Laaksonen