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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 5 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...

Lecture Notes
4961views
17 years 2 months ago
The Relational Data Model, Normalisation and effective Database Design
I have been designing and building applications, including the databases used by those applications, for several decades now. I have seen similar problems approached by different d...
Tony Marston
ECCV
2006
Springer
16 years 6 months ago
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
David J. Crandall, Daniel P. Huttenlocher
CVPR
2005
IEEE
16 years 6 months ago
Hybrid Models for Human Motion Recognition
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona
141
Voted
HICSS
2003
IEEE
125views Biometrics» more  HICSS 2003»
15 years 9 months ago
A Marketing Model for Mobile Wireless Services
: 1 Invaluable feedback from HIICS referees is gratefully acknowledged. Mobile data services integrate handheld and Internet technologies to create new value propositions (Keen and...
A. Lee Gilbert, Jon D. Kendall