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IEEEICCI
2007
IEEE
16 years 18 days ago
An Image Association Model of the Brodmann Areas
The ability to associate images is the basis for learning relationships involving vision, hearing, tactile sensation, and kinetic motion. A new architecture is described that has ...
Douglas S. Greer
KDD
2012
ACM
168views Data Mining» more  KDD 2012»
13 years 8 months ago
Mining contentions from discussions and debates
Social media has become a major source of information for many applications. Numerous techniques have been proposed to analyze network structures and text contents. In this paper,...
Arjun Mukherjee, Bing Liu 0001
WSC
2007
15 years 8 months ago
Inside discrete-event simulation software: how IT works and why IT matters
This paper provides simulation practitioners and consumers with a grounding in how discrete-event simulation software works. Topics include discreteevent systems; entities, resour...
Thomas J. Schriber, Daniel T. Brunner
ICMLA
2009
15 years 4 months ago
Exploring Scale-Induced Feature Hierarchies in Natural Images
Recently there has been considerable interest in topic models based on the bag-of-features representation of images. The strong independence assumption inherent in the bag-of-feat...
Jukka Perkiö, Tinne Tuytelaars, Wray L. Bunti...
ISMIS
2005
Springer
15 years 11 months ago
A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries
In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
Betty Yee Man Cheng, Jaime G. Carbonell, Judith Kl...