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CIKM
2008
Springer
13 years 9 months ago
A sparse gaussian processes classification framework for fast tag suggestions
Tagged data is rapidly becoming more available on the World Wide Web. Web sites which populate tagging services offer a good way for Internet users to share their knowledge. An in...
Yang Song, Lu Zhang 0007, C. Lee Giles
IDEAS
2005
IEEE
149views Database» more  IDEAS 2005»
14 years 28 days ago
An Adaptive Multi-Objective Scheduling Selection Framework for Continuous Query Processing
Adaptive operator scheduling algorithms for continuous query processing are usually designed to serve a single performance objective, such as minimizing memory usage or maximizing...
Timothy M. Sutherland, Yali Zhu, Luping Ding, Elke...
ICML
2008
IEEE
14 years 8 months ago
Fast Gaussian process methods for point process intensity estimation
Point processes are difficult to analyze because they provide only a sparse and noisy observation of the intensity function driving the process. Gaussian Processes offer an attrac...
John P. Cunningham, Krishna V. Shenoy, Maneesh Sah...
EMNLP
2007
13 years 8 months ago
Online Learning for Deterministic Dependency Parsing
Deterministic parsing has emerged as an effective alternative for complex parsing algorithms which search the entire search space to get the best probable parse tree. In this pape...
Prashanth Mannem
ICCV
2007
IEEE
14 years 9 months ago
Robust Visual Tracking Based on Incremental Tensor Subspace Learning
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...