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» An experimental comparison of machine learning for adaptive ...
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ICIP
2008
IEEE
13 years 12 months ago
Learning efficient codes for 3D face recognition
Face representation based on the Visual Codebook becomes popular because of its excellent recognition performance, in which the critical problem is how to learn the most efficien...
Cheng Zhong, Zhenan Sun, Tieniu Tan
WSCG
2004
242views more  WSCG 2004»
13 years 6 months ago
Hand Gesture Recognition for Human-Machine Interaction
Even after more than two decades of input devices development, many people still find the interaction with computers an uncomfortable experience. Efforts should be made to adapt c...
Elena Sánchez-Nielsen, Luis Antón-Ca...
PERVASIVE
2004
Springer
13 years 11 months ago
Adaptive On-Device Location Recognition
Abstract. Location-awareness is useful for mobile and pervasive computing. We present a novel adaptive framework for recognizing personally important locations in cellular networks...
Kari Laasonen, Mika Raento, Hannu Toivonen
COLT
1995
Springer
13 years 9 months ago
A Comparison of New and Old Algorithms for a Mixture Estimation Problem
We investigate the problem of estimating the proportion vector which maximizes the likelihood of a given sample for a mixture of given densities. We adapt a framework developed for...
David P. Helmbold, Yoram Singer, Robert E. Schapir...
KDD
2006
ACM
180views Data Mining» more  KDD 2006»
14 years 6 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang