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JASIS
2002
72views more  JASIS 2002»
15 years 6 months ago
Combining and selecting characteristics of information use
In this paper we report on a series of experiments designed to investigate the combination of term and document weighting functions in Information Retrieval. We describe a series ...
Ian Ruthven, Mounia Lalmas, C. J. van Rijsbergen
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
16 years 7 months ago
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
Gu Xu, Shuang-Hong Yang, Hang Li
178
Voted
ECCV
2008
Springer
16 years 8 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
IIIX
2006
ACM
16 years 12 days ago
Slicing and dicing the information space using local contexts
In recent years there has been growing interest in faceted grouping of documents for Interactive Information Retrieval (IIR). It is suggested that faceted grouping can offer a fl...
Hideo Joho, Joemon M. Jose
MM
2006
ACM
164views Multimedia» more  MM 2006»
16 years 12 days ago
Scalable relevance feedback using click-through data for web image retrieval
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...
En Cheng, Feng Jing, Lei Zhang, Hai Jin