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ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
15 years 5 months ago
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles
ISWC
2002
IEEE
15 years 4 months ago
Micro-Accelerometer Based Hardware Interfaces for Wearable Computer Mixed Reality Applications
Human interaction with wearable computers is an important research issue, especially when combined with mixed reality (MR) applications. Natural and non-obtrusive means of interac...
Adrian David Cheok, Krishnamoorthy Ganesh Kumar, S...
NIPS
2003
15 years 1 months ago
Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks
Gradient-following learning methods can encounter problems of implementation in many applications, and stochastic variants are frequently used to overcome these difficulties. We ...
Justin Werfel, Xiaohui Xie, H. Sebastian Seung
BMVC
1998
15 years 1 months ago
Planar Curve Representation and Matching
In this paper, we discuss a method for representing and matching planar curves. The technique is based on using calculations from concentric circles to represent each curve by two...
Maher Al-Khaiyat, Farhad Kamangar
ICIP
2010
IEEE
14 years 9 months ago
Image quantization under spatial smoothness constraints
Quantization, defined as the act of attributing a finite number of grey-levels to an image, is an essential task in image acquisition and coding. It is also intricately linked to ...
Anna Jezierska, Caroline Chaux, Hugues Talbot, Jea...