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» Multiple-Instance Regression with Structured Data
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WEBDB
2010
Springer
156views Database» more  WEBDB 2010»
13 years 11 months ago
Redundancy-Driven Web Data Extraction and Integration
A large number of web sites publish pages containing structured information about recognizable concepts, but these data are only partially used by current applications. Although s...
Paolo Papotti, Valter Crescenzi, Paolo Merialdo, M...
ICASSP
2011
IEEE
12 years 9 months ago
Weighted and structured sparse total least-squares for perturbed compressive sampling
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
Hao Zhu, Georgios B. Giannakis, Geert Leus
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
13 years 3 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
ECCV
2008
Springer
14 years 7 months ago
Learning to Localize Objects with Structured Output Regression
Sliding window classifiers are among the most successful and widely applied techniques for object localization. However, training is typically done in a way that is not specific to...
Matthew B. Blaschko, Christoph H. Lampert
CIKM
2009
Springer
14 years 11 days ago
L2 norm regularized feature kernel regression for graph data
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...
Hongliang Fei, Jun Huan