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Publication
433views
14 years 4 months ago
Optimal Feature Selection for Subspace Image Matching
Image matching has been a central research topic in computer vision over the last decades. Typical approaches for correspondence involve matching features between images. In this p...
Gemma Roig, Xavier Boix, Fernando De la Torre
AIIA
2007
Springer
14 years 1 months ago
Music Expression Understanding Based on a Joint Semantic Space
A paradigm for music expression understanding based on a joint semantic space, described by both affective and sensorial adjectives, is presented. Machine learning techniques were...
Luca Mion, Giovanni De Poli
ACL
2010
13 years 5 months ago
A Structured Model for Joint Learning of Argument Roles and Predicate Senses
In predicate-argument structure analysis, it is important to capture non-local dependencies among arguments and interdependencies between the sense of a predicate and the semantic...
Yotaro Watanabe, Masayuki Asahara, Yuji Matsumoto
IJON
2006
76views more  IJON 2006»
13 years 7 months ago
Joint maps for orientation, eye, and direction preference in a self-organizing model of V1
Primary visual cortex (V1) contains overlaid feature maps for orientation (OR), motion direction selectivity (DR), and ocular dominance (OD). Neurons in these maps are connected l...
James A. Bednar, Risto Miikkulainen

Publication
210views
14 years 2 months ago
Optimal Feature Selection for Subspace Image Matching
Image matching has been a central research topic in computer vision over the last decades. Typical approaches to correspondence involve matching features between images. In this pa...
Gemma Roig, Xavier Boix, Fernando De la Torre