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ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
14 years 3 months ago
Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikon...
HCI
2009
13 years 7 months ago
Did I Get It Right: Head Gestures Analysis for Human-Machine Interactions
This paper presents a system for another input modality in a multimodal human-machine interaction scenario. In addition to other common input modalities, e.g. speech, we extract he...
Jürgen Gast, Alexander Bannat, Tobias Rehrl, ...
PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
14 years 3 months ago
Sequential Hierarchical Pattern Clustering
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Bassam Farran, Amirthalingam Ramanan, Mahesan Nira...
ICALT
2005
IEEE
14 years 2 months ago
Concept Maps and Learning Objects
Concept Maps constitute one of the tools mostly used in learning management due to the possibility that they offer to contextualize learning, share knowledge and for learning to le...
Leonel Iriarte Navarro, Manuel Marco Such, Daniel ...
ECCV
2010
Springer
13 years 11 months ago
Learning PDEs for Image Restoration via Optimal Control
Partial differential equations (PDEs) have been successfully applied to many computer vision and image processing problems. However, designing PDEs requires high mathematical skill...