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SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 8 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
FGR
2008
IEEE
184views Biometrics» more  FGR 2008»
14 years 1 months ago
Multi-attribute robust facial feature localization
In this paper, we focus on the reliable detection of facial fiducial points, such as eye, eyebrow and mouth corners. The proposed algorithm aims to improve automatic landmarking ...
Oya Çeliktutan, Hatice Cinar Akakin, Bü...
ICPR
2008
IEEE
14 years 8 months ago
Geometric constraints on 2D action models for tracking human body
We propose a 2D model-based approach for tracking human body parts during articulated motion. A human is modeled as a stick figure with thirteen landmarks, and an action is a sequ...
Alexei Gritai, Arslan Basharat, Mubarak Shah
CIKM
2006
Springer
13 years 11 months ago
Topic evolution and social interactions: how authors effect research
We propose a method for discovering the dependency relationships between the topics of documents shared in social networks using the latent social interactions, attempting to answ...
Ding Zhou, Xiang Ji, Hongyuan Zha, C. Lee Giles
AAAI
2010
13 years 9 months ago
Multi-Instance Dimensionality Reduction
Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...
Yu-Yin Sun, Michael K. Ng, Zhi-Hua Zhou