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TKDE
2012
236views Formal Methods» more  TKDE 2012»
11 years 10 months ago
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
— Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms...
Gediminas Adomavicius, YoungOk Kwon
DAARC
2007
Springer
128views Algorithms» more  DAARC 2007»
14 years 1 months ago
Improving Coreference Resolution Using Bridging Reference Resolution and Automatically Acquired Synonyms
Abstract. We present a knowledge-rich approach to Japanese coreference resolution. In Japanese, proper noun coreference and common noun coreference occupy a central position in cor...
Ryohei Sasano, Daisuke Kawahara, Sadao Kurohashi
NIPS
2004
13 years 9 months ago
Boosting on Manifolds: Adaptive Regularization of Base Classifiers
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
Balázs Kégl, Ligen Wang
ICASSP
2007
IEEE
14 years 1 months ago
Context-Based Concept Fusion with Boosted Conditional Random Fields
The contextual relationships among different semantic concepts provide important information for automatic concept detection in images/videos. We propose a new context-based conce...
Wei Jiang, Shih-Fu Chang, Alexander C. Loui
AAIM
2006
Springer
143views Algorithms» more  AAIM 2006»
14 years 1 months ago
A Compression-Boosting Transform for Two-Dimensional Data
We introduce a novel invertible transform for two-dimensional data which has the objective of reordering the matrix so it will improve its (lossless) compression at later stages. T...
Qiaofeng Yang, Stefano Lonardi, Avraham Melkman