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» Learning to Rank Using an Ensemble of Lambda-Gradient Models
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158
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MIR
2006
ACM
200views Multimedia» more  MIR 2006»
15 years 9 months ago
An adaptive graph model for automatic image annotation
Automatic keyword annotation is a promising solution to enable more effective image search by using keywords. In this paper, we propose a novel automatic image annotation method b...
Jing Liu, Mingjing Li, Wei-Ying Ma, Qingshan Liu, ...
CVPR
2007
IEEE
16 years 5 months ago
Learning Visual Similarity Measures for Comparing Never Seen Objects
In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...
Eric Nowak, Frédéric Jurie
SIGIR
2004
ACM
15 years 8 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
101
Voted
ICPR
2008
IEEE
15 years 9 months ago
Subject-independent brain computer interface through boosting
This paper presents a subject-independent EEG (Electroencephalogram) classification technique and its application to a P300-based word speller. Due to EEG variations across subje...
Shijian Lu, Cuntai Guan, Haihong Zhang
WEBDB
2010
Springer
155views Database» more  WEBDB 2010»
15 years 8 months ago
Learning Topical Transition Probabilities in Click Through Data with Regression Models
The transition of search engine users’ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how di...
Xiao Zhang, Prasenjit Mitra