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» Heuristics for information visualization evaluation
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BMCBI
2005
122views more  BMCBI 2005»
14 years 9 months ago
FACT - a framework for the functional interpretation of high-throughput experiments
Background: Interpreting the results of high-throughput experiments, such as those obtained from DNA-microarrays, is an often time-consuming task due to the high number of data-po...
Felix Kokocinski, Nicolas Delhomme, Gunnar Wrobel,...
CHI
2011
ACM
14 years 1 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
IUI
2010
ACM
15 years 4 months ago
Intelligent understanding of handwritten geometry theorem proving
Computer-based geometry systems have been widely used for teaching and learning, but largely based on mouse-andkeyboard interaction, these systems usually require users to draw fi...
Yingying Jiang, Feng Tian, Hongan Wang, Xiaolong Z...
CIVR
2007
Springer
195views Image Analysis» more  CIVR 2007»
15 years 3 months ago
Towards optimal bag-of-features for object categorization and semantic video retrieval
Bag-of-features (BoF) deriving from local keypoints has recently appeared promising for object and scene classification. Whether BoF can naturally survive the challenges such as ...
Yu-Gang Jiang, Chong-Wah Ngo, Jun Yang 0003
78
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CHI
2005
ACM
14 years 11 months ago
Designing human friendly human interaction proofs (HIPs)
HIPs, or Human Interactive Proofs, are challenges meant to be easily solved by humans, while remaining too hard to be economically solved by computers. HIPs are increasingly used ...
Kumar Chellapilla, Kevin Larson, Patrice Y. Simard...