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» Challenges in Visual Data Analysis
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TNN
2010
205views Management» more  TNN 2010»
14 years 8 months ago
Behavior-constrained support vector machines for fMRI data analysis
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu
CVPR
2012
IEEE
13 years 4 months ago
Scalable k-NN graph construction for visual descriptors
The k-NN graph has played a central role in increasingly popular data-driven techniques for various learning and vision tasks; yet, finding an efficient and effective way to con...
Jing Wang, Jingdong Wang, Gang Zeng, Zhuowen Tu, R...
CINQ
2004
Springer
116views Database» more  CINQ 2004»
15 years 5 months ago
Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining
Abstract. One of the exciting scientific challenges in functional genomics concerns the discovery of biologically relevant patterns from gene expression data. For instance, it is e...
Ruggero G. Pensa, Jérémy Besson, C&e...
IJCAI
2007
15 years 3 months ago
Parametric Kernels for Sequence Data Analysis
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
Young-In Shin, Donald S. Fussell
SEMWEB
2010
Springer
14 years 11 months ago
Finding the Achilles Heel of the Web of Data: Using Network Analysis for Link-Recommendation
Abstract. The Web of Data is increasingly becoming an important infrastructure for such diverse sectors as entertainment, government, ecommerce and science. As a result, the robust...
Christophe Guéret, Paul T. Groth, Frank van...