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CVPR
2012
IEEE
6 years 9 months ago
Unsupervised metric fusion by cross diffusion
Metric learning is a fundamental problem in computer vision. Different features and algorithms may tackle a problem from different angles, and thus often provide complementary inf...
Bo Wang, Jiayan Jiang, Wei Wang 0028, Zhi-Hua Zhou...
WSDM
2012
ACM
262views Data Mining» more  WSDM 2012»
7 years 2 months ago
Effects of user similarity in social media
There are many settings in which users of a social media application provide evaluations of one another. In a variety of domains, mechanisms for evaluation allow one user to say w...
Ashton Anderson, Daniel P. Huttenlocher, Jon M. Kl...
CIKM
2011
Springer
7 years 7 months ago
Effective retrieval of resources in folksonomies using a new tag similarity measure
Social (or folksonomic) tagging has become a very popular way to describe content within Web 2.0 websites. However, as tags are informally defined, continually changing, and ungo...
Giovanni Quattrone, Licia Capra, Pasquale De Meo, ...
BICOB
2011
Springer
7 years 7 months ago
Similarity and Prioritization of Disease Proteins using Path Length Measure
Semantic similarity measures have been used successfully and extensively in the biomedical research with various applications. As the biomedical ontologies, which form the main gro...
Anurag Nagar, Hisham Al-Mubaid
AMAI
2011
Springer
7 years 7 months ago
Similarity measures in formal concept analysis
Formal concept analysis (FCA) has been applied successively in diverse fields such as data mining, conceptual modeling, social networks, software engineering, and the semantic we...
Faris Alqadah, Raj Bhatnagar
SCIENTOMETRICS
2011
7 years 10 months ago
Accuracy of inter-researcher similarity measures based on topical and social clues
Scientific literature recommender systems (SLRSs) provide papers to researchers according to their scientific interests. Systems rely on inter-researcher similarity measures that...
Guillaume Cabanac
PR
2011
7 years 10 months ago
Content-based image retrieval with relevance feedback using random walks
In this paper we propose a novel approach to content-based image retrieval with relevance feedback, which is based on the random walker algorithm introduced in the context of inte...
Samuel Rota Bulò, Massimo Rabbi, Marcello P...
PAKDD
2011
ACM
419views Data Mining» more  PAKDD 2011»
7 years 10 months ago
DISC: Data-Intensive Similarity Measure for Categorical Data
Abstract. The concept of similarity is fundamentally important in almost every scientific field. Clustering, distance-based outlier detection, classification, regression and sea...
Aditya Desai, Himanshu Singh, Vikram Pudi
NLDB
2011
Springer
7 years 10 months ago
Querying Linked Data Using Semantic Relatedness: A Vocabulary Independent Approach
Abstract. Linked Data brings the promise of incorporating a new dimension to the Web where the availability of Web-scale data can determine a paradigmatic transformation of the Web...
André Freitas, João Gabriel Oliveira...
IAJIT
2011
7 years 10 months ago
A hierarchical K-NN classifier for textual data
: This paper presents a classifier that is based on a modified version of the well known K-Nearest Neighbors classifier (K-NN). The original K-NN classifier was adjusted to work wi...
Rehab M. Duwairi, Rania Al-Zubaidi
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