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UAI
2000
15 years 7 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping
TSMC
2008
225views more  TSMC 2008»
15 years 6 months ago
Robust Methods for Geometric Primitive Recovery and Estimation From Range Images
We present a method for the recovery of partially occluded 3D geometric primitives from range images which might also include non-primitive objects. The method uses a technique for...
Irina Lavva, Eyal Hameiri, Ilan Shimshoni
ICRA
2007
IEEE
136views Robotics» more  ICRA 2007»
16 years 23 days ago
Interacting Object Tracking in Crowded Urban Areas
— Tracking in crowded urban areas is a daunting task. High crowdedness causes challenging data association problems. Different motion patterns from a wide variety of moving objec...
Chieh-Chih Wang, Tzu-Chien Lo, Shao-Wen Yang
IJCNLP
2005
Springer
15 years 12 months ago
A Chunking Strategy Towards Unknown Word Detection in Chinese Word Segmentation
This paper proposes a chunking strategy to detect unknown words in Chinese word segmentation. First, a raw sentence is pre-segmented into a sequence of word atoms 1 using a maximum...
Guodong Zhou
PRL
2008
124views more  PRL 2008»
15 years 6 months ago
Matrix-pattern-oriented least squares support vector classifier with AdaBoost
: Matrix-pattern-oriented Least Squares Support Vector Classifier (MatLSSVC) can directly classify matrix patterns and has a superior classification performance than its vector ver...
Zhe Wang, Songcan Chen