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CHI
2009
ACM
16 years 5 months ago
What do you see when you're surfing?: using eye tracking to predict salient regions of web pages
An understanding of how people allocate their visual attention when viewing Web pages is very important for Web authors, interface designers, advertisers and others. Such knowledg...
Georg Buscher, Edward Cutrell, Meredith Ringel Mor...
148
Voted
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
16 years 5 months ago
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
Gu Xu, Shuang-Hong Yang, Hang Li
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 5 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu
KDD
2001
ACM
195views Data Mining» more  KDD 2001»
16 years 5 months ago
Multimedia Data Mining for Traffic Video Sequences
In this paper, a multimedia data mining framework for discovering important but previously unknown knowledge such as vehicle identification, traffic flow, and the spatio-temporal ...
Shu-Ching Chen, Mei-Ling Shyu, Chengcui Zhang, Jef...
150
Voted
CHI
2006
ACM
16 years 5 months ago
Peekaboom: a game for locating objects in images
We introduce Peekaboom, an entertaining web-based game that can help computers locate objects in images. People play the game because of its entertainment value, and as a side eff...
Luis von Ahn, Ruoran Liu, Manuel Blum