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» A Framework for Automatic Online Personalization
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ICCV
2007
IEEE
16 years 1 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
VLDB
2002
ACM
193views Database» more  VLDB 2002»
14 years 11 months ago
REFEREE: An Open Framework for Practical Testing of Recommender Systems using ResearchIndex
Automated recommendation (e.g., personalized product recommendation on an ecommerce web site) is an increasingly valuable service associated with many databases--typically online ...
Dan Cosley, Steve Lawrence, David M. Pennock
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 8 days ago
A framework for classification and segmentation of massive audio data streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
Charu C. Aggarwal
WMTE
2006
IEEE
15 years 5 months ago
A Lifecycle approach to evaluating MyArtSpace
MyArtSpace is a service on mobile phones for enquiry-led museum learning. It enables students to create their own interpretations of museum visits through descriptions of objects,...
Giasemi N. Vavoula, Julia Meek, Mike Sharples, Pet...
CIVR
2007
Springer
189views Image Analysis» more  CIVR 2007»
15 years 6 months ago
Online video recommendation based on multimodal fusion and relevance feedback
With Internet delivery of video content surging to an unprecedented level, video recommendation has become a very popular online service. The capability of recommending relevant v...
Bo Yang, Tao Mei, Xian-Sheng Hua, Linjun Yang, Shi...