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» Relational learning via collective matrix factorization
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ICCV
2003
IEEE
14 years 9 months ago
Images as Bags of Pixels
We propose modeling images and related visual objects as bags of pixels or sets of vectors. For instance, gray scale images are modeled as a collection or bag of (X, Y, I) pixel v...
Tony Jebara
LREC
2008
253views Education» more  LREC 2008»
13 years 9 months ago
Learning properties of Noun Phrases: from data to functions
The paper presents two experiments of unsupervised classification of Italian noun phrases. The goal of the experiments is to identify the most prominent contextual properties that...
Valeria Quochi, Basilio Calderone
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
11 years 10 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
RECSYS
2009
ACM
14 years 2 months ago
Recommending new movies: even a few ratings are more valuable than metadata
In the Netflix Prize competition many new collaborative filtering (CF) approaches emerged, which are excellent in optimizing the RMSE of the predictions. Matrix factorization (M...
István Pilászy, Domonkos Tikk
GROUP
2003
ACM
14 years 22 days ago
Communities of action: a cognitive and social approach to the design of CSCW systems
Most current theories about collective cognitive activities in limited groups apply to structurally closed co-operative situations Here we propose to work in the framework of inte...
Manuel Zacklad