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KDD
2005
ACM
109views Data Mining» more  KDD 2005»
16 years 2 days ago
Formulating distance functions via the kernel trick
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...
Gang Wu, Edward Y. Chang, Navneet Panda
87
Voted
ICIP
2006
IEEE
16 years 1 months ago
Content-Adaptive Video Summarization Combining Queueing and Clustering
This paper presents an efficient three-step algorithm to compute key frames for summarization and indexing of digital videos. In the preprocessing step, we remove the video frames...
Tiecheng Liu, Ravi Katpelly
95
Voted
ETVC
2008
15 years 1 months ago
Sparse Multiscale Patches for Image Processing
Abstract. This paper presents a framework to define an objective measure of the similarity (or dissimilarity) between two images for image processing. The problem is twofold: 1) de...
Paolo Piro, Sandrine Anthoine, Eric Debreuve, Mich...
105
Voted
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 6 days ago
Query result clustering for object-level search
Query result clustering has recently attracted a lot of attention to provide users with a succinct overview of relevant results. However, little work has been done on organizing t...
Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong...
113
Voted
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
16 years 2 days ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo