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» ELEM2: A Learning System for More Accurate Classifications
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IJCV
2011
264views more  IJCV 2011»
13 years 2 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
COLING
2010
13 years 2 months ago
Learning to Predict Readability using Diverse Linguistic Features
In this paper we consider the problem of building a system to predict readability of natural-language documents. Our system is trained using diverse features based on syntax and l...
Rohit J. Kate, Xiaoqiang Luo, Siddharth Patwardhan...
CG
2010
Springer
13 years 6 months ago
The effect of task on classification accuracy: Using gesture recognition techniques in free-sketch recognition
Generating, grouping, and labeling free-sketch data is a difficult and time-consuming task for both user study participants and researchers. To simplify this process for both part...
M. Field, S. Gordon, Eric Jeffrey Peterson, R. Rob...
CHI
2007
ACM
14 years 8 months ago
Rating, voting & ranking: designing for collaboration & consensus
The OpenChoice system, currently in development, is an open source, open access community rating and filtering service that would improve upon the utility of currently available W...
Don Turnbull
ICMCS
2008
IEEE
156views Multimedia» more  ICMCS 2008»
14 years 2 months ago
A fuzzy statistical correlation-based approach to content-based image retrieval
This paper presents an effective fuzzy long-term semantic learning method for relevance feedback-based image retrieval. The proposed system uses a statistical correlationbased met...
Xiaojun Qi, Ran Chang