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ICASSP
2008
IEEE
15 years 3 months ago
Discriminative learning for optimizing detection performance in spoken language recognition
We propose novel approaches for optimizing the detection performance in spoken language recognition. Two objective functions are designed to directly relate model parameters to tw...
Donglai Zhu, Haizhou Li, Bin Ma, Chin-Hui Lee
ICPR
2010
IEEE
15 years 1 months ago
Learning an Efficient and Robust Graph Matching Procedure for Specific Object Recognition
We present a fast and robust graph matching approach for 2D specific object recognition in images. From a small number of training images, a model graph of the object to learn is a...
Jerome Revaud, Guillaume Lavoue, Yasuo Ariki, Atil...
CVPR
2009
IEEE
1413views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Learning Semantic Scene Models by Object Classification and Trajectory Clustering
The visual surveillance task is to monitor the activity of objects in a scene. In far-field settings (i.e., wide outdoor areas), the majority of visible activities are objects movi...
Hanqing Lu, Stan Z. Li, Tianzhu Zhang
IJET
2007
143views more  IJET 2007»
14 years 9 months ago
Adaptive learning scenarios for detection of misconceptions about electricity and remediation
— Our main objective is to model the knowledge used by learners in order to solve problems about electricity. We are searching means to do a diagnosis about student’s activity ...
Sandra Michelet, Jean-Michel Adam, Vanda Luengo
151
Voted
ICCV
2009
IEEE
16 years 2 months ago
Modelling Activity Global Temporal Dependencies using Time Delayed Probabilistic Graphical Model
We present a novel approach for detecting global behaviour anomalies in multiple disjoint cameras by learning time delayed dependencies between activities cross camera views. Sp...
Chen Change Loy, Tao Xiang and Shaogang Gong