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TNN
2008
119views more  TNN 2008»
15 years 6 months ago
Selecting Useful Groups of Features in a Connectionist Framework
Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...
Debrup Chakraborty, Nikhil R. Pal
CE
2007
106views more  CE 2007»
15 years 6 months ago
The need for virtual information managers in education
In this paper, the authors analyse how educational institutions behave in relation with the contents available through the Web. They also reflect on the features of the currently...
Xavier Jaén, Xavier Bohigas, Montse Novell

Publication
335views
13 years 8 months ago
Person Re-Identification: What Features are Important?
State-of-the-art person re-identi cation methods seek robust person matching through combining various feature types. Often, these features are implicitly assigned with a single ve...
Chunxiao Liu, Shaogang Gong, Chen Change Loy, Xing...
WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
16 years 3 months ago
Pairwise Interaction Tensor Factorization for Personalized Tag Recommendation
Tagging plays an important role in many recent websites. Recommender systems can help to suggest a user the tags he might want to use for tagging a specific item. Factorization mo...
Steffen Rendle, Lars Schmidt-Thieme
ICALT
2006
IEEE
16 years 17 days ago
Mobile Technology and Content Delivery in Education
The purpose of this workshop is to identify various issues that are pertinent to the development and delivery of content in the context of mobile devices. The workshop will focus ...
Rory McGreal, Kinshuk