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» Unsupervised Feature Selection Using Feature Similarity
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OIR
2007
95views more  OIR 2007»
13 years 10 months ago
Help features in digital libraries: types, formats, presentation styles, and problems
Purpose – The purpose of this paper is to evaluate Help features in digital libraries and identify problems related to their design. Design/methodology/approach – This study s...
Hong (Iris) Xie
ICIP
2002
IEEE
15 years 7 days ago
Learning similarity space
In this study, we suggest a method to adapt an image retrieval system into a configurable one. Basically, original feature space of a content-based retrieval system is nonlinearly...
Abdurrahman Çarkacioglu, Fatos T. Yarman-Vu...
ICPR
2010
IEEE
13 years 8 months ago
Low-Level Image Segmentation Based Scene Classification
This paper is aimed at evaluating the semantic information content of multiscale, low-level image segmentation. As a method of doing this, we use selected features of segmentation...
Emre Akbas, Narendra Ahuja
PAMI
2006
206views more  PAMI 2006»
13 years 10 months ago
MILES: Multiple-Instance Learning via Embedded Instance Selection
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
Yixin Chen, Jinbo Bi, James Ze Wang
EMNLP
2006
14 years 1 days ago
Feature Subsumption for Opinion Analysis
Lexical features are key to many approaches to sentiment analysis and opinion detection. A variety of representations have been used, including single words, multi-word Ngrams, ph...
Ellen Riloff, Siddharth Patwardhan, Janyce Wiebe