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VLDB
2005
ACM
180views Database» more  VLDB 2005»
15 years 8 months ago
Cache-conscious Frequent Pattern Mining on a Modern Processor
In this paper, we examine the performance of frequent pattern mining algorithms on a modern processor. A detailed performance study reveals that even the best frequent pattern min...
Amol Ghoting, Gregory Buehrer, Srinivasan Parthasa...
VLBV
2005
Springer
15 years 8 months ago
Coding with Temporal Layers or Multiple Descriptions for Lossy Video Transmission
In this paper, we compare temporal layered coding (TLC), as well as single-state coding (SSC), to multi-state video coding (MSVC) in the context of lossy video communications. MSV...
Sila Ekmekci Flierl, Thomas Sikora, Pascal Frossar...
162
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CIVR
2008
Springer
271views Image Analysis» more  CIVR 2008»
15 years 5 months ago
Multiple feature fusion by subspace learning
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
Yun Fu, Liangliang Cao, Guodong Guo, Thomas S. Hua...
KDD
2009
ACM
221views Data Mining» more  KDD 2009»
16 years 3 months ago
Migration motif: a spatial - temporal pattern mining approach for financial markets
A recent study by two prominent finance researchers, Fama and French, introduces a new framework for studying risk vs. return: the migration of stocks across size-value portfolio ...
Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee,...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
16 years 3 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye