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» Learning the Ideal Evaluation Function
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ICASSP
2007
IEEE
14 years 1 months ago
A Radial Basis Function and Semantic Learning Space Based Composite Learning Approach to Image Retrieval
This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
Konstantin Shkurko, Xiaojun Qi
AR
2006
86views more  AR 2006»
13 years 7 months ago
Learning for joint attention helped by functional development
Cognitive scientists and developmental psychologists have suggested that development in perceptual, motor and memory functions of human infants as well as adaptive evaluation by ca...
Yukie Nagai, Minoru Asada, Koh Hosoda
CHI
2009
ACM
14 years 8 months ago
Out from behind the curtain: learning from a human auditory display
In this paper we describe an approach to gathering design requirements for a software auditory display by analyzing user interactions with an ideal partner: a talking human contro...
Peter Parente, Gary Bishop
SIGIR
2010
ACM
13 years 11 months ago
Learning more powerful test statistics for click-based retrieval evaluation
Interleaving experiments are an attractive methodology for evaluating retrieval functions through implicit feedback. Designed as a blind and unbiased test for eliciting a preferen...
Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, T...
HASKELL
2009
ACM
14 years 1 months ago
Lazy functional incremental parsing
Structured documents are commonly edited using a free-form editor. Even though every string is an acceptable input, it makes sense to maintain a structured representation of the e...
Jean-Philippe Bernardy