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KDD
2009
ACM
611views Data Mining» more  KDD 2009»
14 years 6 months ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
INTERSPEECH
2010
13 years 7 days ago
Context adaptive training with factorized decision trees for HMM-based speech synthesis
To achieve natural high quality synthesised speech in HMMbased speech synthesis, the effective modelling of complex acoustic and linguistic contexts is critical. Traditional appro...
Kai Yu, Heiga Zen, François Mairesse, Steve...
SIGMOD
2005
ACM
178views Database» more  SIGMOD 2005»
14 years 5 months ago
Towards Effective Indexing for Very Large Video Sequence Database
With rapid advances in video processing technologies and ever fast increments in network bandwidth, the popularity of video content publishing and sharing has made similarity sear...
Heng Tao Shen, Beng Chin Ooi, Xiaofang Zhou
KDD
2010
ACM
253views Data Mining» more  KDD 2010»
13 years 9 months ago
Mining periodic behaviors for moving objects
Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. However, periodic behaviors could b...
Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, P...
BPM
2006
Springer
166views Business» more  BPM 2006»
13 years 9 months ago
Process Mining by Measuring Process Block Similarity
Mining, discovering, and integrating process-oriented services has attracted growing attention in the recent year. Workflow precedence graph and workflow block structures are two i...
Joonsoo Bae, James Caverlee, Ling Liu, Hua Yan