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» Feature selection for ranking using boosted trees
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KDD
2004
ACM
146views Data Mining» more  KDD 2004»
15 years 10 months ago
Using Hyperlink Features to Personalize Web Search
Personalized search has gained great popularity to improve search effectiveness in recent years. The objective of personalized search is to provide users with information tailored ...
Mehmet S. Aktas, Mehmet A. Nacar, Filippo Menczer
ICCV
2007
IEEE
15 years 11 months ago
Gradient Feature Selection for Online Boosting
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
Ting Yu, Xiaoming Liu 0002
74
Voted
ICML
2000
IEEE
15 years 1 months ago
Discriminative Reranking for Natural Language Parsing
This paper considers approaches which rerank the output of an existing probabilistic parser. The base parser produces a set of candidate parses for each input sentence, with assoc...
Michael Collins
111
Voted
EMNLP
2011
13 years 9 months ago
Generating Aspect-oriented Multi-Document Summarization with Event-aspect model
In this paper, we propose a novel approach to automatic generation of aspect-oriented summaries from multiple documents. We first develop an event-aspect LDA model to cluster sen...
Peng Li, Yinglin Wang, Wei Gao, Jing Jiang
88
Voted
PRL
2006
180views more  PRL 2006»
14 years 9 months ago
MutualBoost learning for selecting Gabor features for face recognition
This paper describes an improved boosting algorithm, the MutualBoost algorithm, and its application in developing a fast and robust Gabor feature based face recognition system. Th...
LinLin Shen, Li Bai