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» A Preference Model for Structured Supervised Learning Tasks
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CVPR
2007
IEEE
15 years 11 months ago
Image Classification with Segmentation Graph Kernels
We propose a family of kernels between images, defined as kernels between their respective segmentation graphs. The kernels are based on soft matching of subtree-patterns of the r...
Francis Bach, Zaïd Harchaoui
ILP
2003
Springer
15 years 2 months ago
Relational IBL in Music with a New Structural Similarity Measure
It is well known that many hard tasks considered in machine learning and data mining can be solved in an rather simple and robust way with an instance- and distance-based approach....
Asmir Tobudic, Gerhard Widmer
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
15 years 7 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
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CVPR
2007
IEEE
15 years 11 months ago
Learning Motion Categories using both Semantic and Structural Information
Current approaches to motion category recognition typically focus on either full spatiotemporal volume analysis (holistic approach) or analysis of the content of spatiotemporal in...
Shu-Fai Wong, Tae-Kyun Kim, Roberto Cipolla
PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
14 years 8 months ago
Large-Scale Support Vector Learning with Structural Kernels
Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
Aliaksei Severyn, Alessandro Moschitti