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DCC
2006
IEEE
14 years 4 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
PKDD
2001
Springer
120views Data Mining» more  PKDD 2001»
13 years 9 months ago
Text Categorization and Semantic Browsing with Self-Organizing Maps on Non-euclidean Spaces
This paper introduces a new type of Self-Organizing Map (SOM) for Text Categorization and Semantic Browsing. We propose a “hyperbolic SOM” (HSOM) based on a regular tesselation...
Jörg Ontrup, Helge Ritter
PAMI
2012
11 years 7 months ago
Exploring Context and Content Links in Social Media: A Latent Space Method
—Social media networks contain both content and context-specific information. Most existing methods work with either of the two for the purpose of multimedia mining and retrieva...
Guo-Jun Qi, Charu C. Aggarwal, Qi Tian, Heng Ji, T...
CVPR
2010
IEEE
13 years 10 months ago
Visual Recognition using Mappings that Replicate Margins
We consider the problem of learning to map between two vector spaces given pairs of matching vectors, one from each space. This problem naturally arises in numerous vision problem...
Lior Wolf, Nathan Manor
COSIT
2007
Springer
114views GIS» more  COSIT 2007»
13 years 11 months ago
Spatial Information Extraction for Cognitive Mapping with a Mobile Robot
When animals (including humans) first explore a new environment, what they remember is fragmentary knowledge about the places visited. Yet, they have to use such fragmentary knowl...
Jochen Schmidt, Chee K. Wong, Wai K. Yeap