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ICDE
2003
IEEE
247views Database» more  ICDE 2003»
14 years 8 months ago
CLUSEQ: Efficient and Effective Sequence Clustering
Analyzing sequence data has become increasingly important recently in the area of biological sequences, text documents, web access logs, etc. In this paper, we investigate the pro...
Jiong Yang, Wei Wang 0010
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 7 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 7 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
CVPR
2010
IEEE
14 years 3 months ago
iCoseg: Interactive Co-segmentation with Intelligent Scribble Guidance
We present an algorithm for Interactive Cosegmentation of a foreground object from a group of related images. While previous approaches focus on unsupervised co-segmentation, we us...
Dhruv Batra, Adarsh Kowdle, Devi Parikh, Jiebo Luo...
ACMICEC
2004
ACM
149views ECommerce» more  ACMICEC 2004»
14 years 25 days ago
Emerging customer trends towards mobile music services
Elaborating on the rapid evolution of mobile entertainment services, this paper investigates customers’ preferences and attitudes towards mobile music services in Europe through...
Pavlos Vlachos, Adam P. Vrechopoulos