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ACL
2010
14 years 10 months ago
Extraction and Approximation of Numerical Attributes from the Web
We present a novel framework for automated extraction and approximation of numerical object attributes such as height and weight from the Web. Given an object-attribute pair, we d...
Dmitry Davidov, Ari Rappoport
ICML
2010
IEEE
15 years 28 days ago
Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets
A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
Mingkui Tan, Li Wang, Ivor W. Tsang
SIGIR
2012
ACM
13 years 2 months ago
Utilizing inter-document similarities in federated search
We demonstrate the merits of using inter-document similarities for federated search. Specifically, we study a resultsmerging method that utilizes information induced from cluster...
Savva Khalaman, Oren Kurland
ISCIS
2009
Springer
15 years 6 months ago
Dynamic feature weights with relevance feedback in content-based image retrieval
— In this paper, we present a novel relevance feedback method for Content-Based Image Retrieval systems based on dynamic feature weights. The proposed method utilizes intracluste...
Esin Guldogan, Moncef Gabbouj
AIRS
2005
Springer
15 years 5 months ago
Query Expansion with the Minimum Relevance Judgments
Query expansion techniques generally select new query terms from a set of top ranked documents. Although a user’s manual judgment of those documents would much help to select goo...
Masayuki Okabe, Kyoji Umemura, Seiji Yamada